Headquarters:

Summary:

We are seeking an experienced Python Backend Developer to design, build, and deploy scalable AI-powered applications using Retrieval-Augmented Generation, large language models, and agentic AI frameworks. The role will focus on delivering a production-grade RAG system and AI chatbot that can securely integrate with enterprise data, APIs, databases, and cloud services.

General information:

The organization is developing an AI-powered platform and requires an experienced individual contributor to build its RAG architecture and conversational AI capabilities. The developer will work closely with a distributed team and should be available for several hours of overlap with US working hours.

The project involves designing AI systems that go beyond basic prompt engineering, including multi-step workflows, autonomous agents, vector search, knowledge retrieval, memory management, and tool integration. The solution must be scalable, secure, observable, and suitable for production use.

The technology environment includes Python, FastAPI, large language models, LangGraph, LangChain, vector databases, Azure AI services, AWS, Docker, Kubernetes, and microservice-based architectures.

Task and deliverables:

• Design the end-to-end architecture for a scalable RAG system and AI chatbot.
• Develop Python backend services, REST APIs, and microservices using FastAPI or similar frameworks.
• Build document ingestion, chunking, embedding, indexing, retrieval, and reranking pipelines.
• Implement vector search solutions using Azure AI Search or comparable vector databases.
• Design autonomous AI agents capable of planning, reasoning, tool usage, and decision-making.
• Develop multi-step AI workflows using LangGraph, LangChain, CrewAI, AutoGen, or similar orchestration frameworks.
• Integrate commercial and open-source LLMs, including Azure OpenAI, OpenAI, Anthropic Claude, Gemini, and comparable models.
• Implement conversation memory, session management, context management, and agent collaboration patterns.
• Connect AI workflows with APIs, databases, enterprise systems, and external tools.
• Develop asynchronous, high-performance services capable of handling concurrent AI workloads.
• Implement prompt management, structured outputs, guardrails, fallback logic, and model evaluation processes.
• Establish logging, monitoring, tracing, observability, security, and error-handling standards.
• Containerize and deploy AI services using Docker, Kubernetes, Azure, or AWS.
• Translate business requirements into technical designs, delivery milestones, and production-ready AI solutions.
• Collaborate with the wider team while independently owning architecture and implementation decisions.

Required experience:

• Required: 8 or more years of professional Python backend development experience.
• Required: Strong experience designing REST APIs, microservices, asynchronous services, and distributed backend systems.
• Required: Hands-on experience building production-grade RAG applications.
• Required: Strong understanding of embeddings, document chunking, semantic search, vector indexing, retrieval strategies, and reranking.
• Required: Hands-on experience developing AI agents and multi-step LLM workflows.
• Required: Experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or comparable platforms.
• Required: Experience integrating LLMs through OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or open-source model APIs.
• Required: Ability to design AI architecture beyond basic prompt engineering.
• Required: Experience integrating AI applications with APIs, databases, data pipelines, and enterprise systems.
• Required: Experience implementing security, monitoring, logging, tracing, and observability for production services.
• Required: Experience deploying containerized applications using Docker and cloud platforms such as Azure or AWS.
• Required: Ability to independently translate business requirements into scalable technical solutions.
• Required: Strong communication and collaboration skills in a distributed working environment.
• Required: Availability for several hours of overlap with US working hours.

To apply: https://weworkremotely.com/remote-jobs/toptal-python-backend-development-talent-with-rag-and-agentic-ai-experience

About the RoleThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native.

About BJAKThe original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money.

At Thorn, our cause is our code. We are a nonprofit whose mission of defending children from sexual exploitation and abuse is deeply embedded within our core—a shared code that drives us to do challenging work with resilience and determination.

Here, you’ll work and grow among the best hearts and the best minds in tech, data, and business alongside our network of independent partners, NGOs, and law enforcement agencies. Together, we’re focused on building technology that protects children’s futures. We are looking for dynamic problem solvers with the desire to help address some of today’s toughest issues. You’ll collaborate with a diverse group of peers in a remote environment centered on wellness, care, and compassion.

In 2019, we took the stage atTED and shared our audacious goal of eliminating child sexual abuse material from the internet. Come join us to help make this goal a reality and build a world where every child can be safe, curious, and happy.

About the Role

Our Victim Identification team builds and owns tools that empower global law enforcement partners to combat child sexual abuse. As a Senior Engineer, you take ownership of significant features and system components, bringing expertise to a core area of the system and contributing meaningfully to how our systems are designed, built, and maintained.

In this role, you independently deliver complex projects within a defined scope, apply sound technical judgment to design and implementation decisions, and ensure high standards of quality, reliability, and performance in support of Thorn’s mission. You partner closely with Product and Engineering to translate goals into well-scoped technical solutions and execute them successfully. Through strong collaboration and thoughtful ownership, you help raise the bar for quality within your team and contribute to the health and effectiveness of your team’s systems.

What You’ll Do

• Collaborate with engineers on your team to build and maintain scalable systems and applications from end-to-end.
• Take on complex features and projects independently. You gather input from teammates, break down problems, and communicate progress clearly to stakeholders.
• Lead technical discussions within your team, partnering closely with Build and Product to define requirements and arrive together at practical, high-quality approaches.
• Develop solutions to problems faced by our users, clearly articulating tradeoffs and decisions to stakeholders across technical and non-technical audiences, and incorporating feedback into iterative improvements.
• Apply sound design and implementation judgment within your area of ownership, contributing to system reliability, scalability, and sustainability.
• Play a critical role in day-to-day coding, thorough code reviews, and troubleshooting production issues, including participating in on-call rotations to support system reliability and incident response.
• Identify technical risks within your work and raise them early, collaborating with teammates to address issues before they become larger constraints.
• Strengthen your team by sharing expertise, offering thoughtful feedback, mentoring teammates within your domain, and stepping in to help when needed.
• Contribute to improving team practices and documentation, supporting a culture of learning and continuous improvement.

What We’re Looking For

• You have a commitment to putting the children we serve at the center of everything you do.
• You have experience building and maintaining production-ready software systems.
• You demonstrate strong problem-solving skills and apply sound design and implementation judgment within your area of ownership.
• You are nimble and comfortable working within evolving requirements, adapting your approach and breaking down problems to deliver high-quality solutions.
• You take pride in writing clear, maintainable code and maintaining a high bar for quality and craftsmanship.
• You clearly articulate technical decisions and tradeoffs and incorporate feedback thoughtfully into your work.
• You identify risks and edge cases in your work and proactively raise concerns.
• You communicate clearly, efficiently, and thoughtfully. We’re a highly-distributed team, and effective written communication is crucial for everything from Slack to code reviews.

Technologies We Use

• Python3
• TypeScript / React/ Ant Design
• AWS / Terraform
• Docker / Kubernetes
• Elasticsearch / PostgreSQL
• Datadog

Compensation and Benefits

A reasonable estimate of the compensation range for this role is $129,000-$178,250/year. This range takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to location; skill sets; experience and training; licensure, and certifications.

Our remote-first work model is structured around working from home most of the time. But, there will be times that employees are expected to travel. For example, Thorn may host company-wide gatherings, and smaller teams may hold in-person meetings and team-building events, or require attendance at specific conferences.

At Thorn, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Thorn can mean for you.

Thorn is strengthened by the wide range of experiences and perspectives on our team. We value the diversity of our professional backgrounds, subject matter expertise, cultures, and perspectives because they help us solve complex problems and serve our mission more effectively. We hire based on merit, qualifications, and organizational need, and we are committed to fostering an inclusive environment where all employees can thrive.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Thorn is committed to the full inclusion of all qualified individuals. We provide reasonable accommodations to ensure candidates and employees with disabilities can fully participate in the application process, perform essential job functions, and access all the benefits and privileges of employment. If you need an accommodation, please contact us at hiring@wearethorn.org

Know Your Rights: Workplace discrimination is illegal

The Company

Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - creating a smoother, more fan-friendly experience. Jump was founded by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser. We’re backed by top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures.

Our platform powers teams across the NBA, WNBA, and NWSL among other leagues, helping them boost ticket sales and deliver innovative fan experiences. We’re a remote-first team driven by core values - begin and build with trust, play like the underdog, win as a team, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you.

The Role

Jump is seeking a Senior Data Engineer to join our nimble Data team, where you’ll help build and evolve the data platform that powers the company. You’ll own the reliability and performance of our Snowflake and dbt-powered stack, building the pipelines and models that make data trustworthy and usable across Jump - from internal dashboards to client-facing products. As we create and iterate on agentic functionality across our product, you’ll help shape how Jump builds on and leverages its data foundation. This is a hands-on, high-ownership role spanning data platform, analytics engineering, and data infrastructure. You’ll work across the stack, solving problems end-to-end while helping shape the architecture and data practices that will support Jump as we scale.

What You’ll Do

• Build and maintain ELT pipelines that turn raw data into modular, well-tested dbt models inside Snowflake

• Design and maintain reliable data orchestration and workflows as the platform grows in complexity

• Write and maintain dbt tests that catch issues before they reach a critical point

• Document models and sources so the meaning of our data is discoverable

• Build monitoring and alerting that surfaces pipeline failures and data anomalies before anyone has to ask

• Optimize Snowflake table design and materialization strategy to keep performance high and costs in check as data volume grows

• Help evolve Snowflake access controls and governance, keeping roles, grants, and security aligned with organizational standards

• Dig into what internal teams and external clients actually need from our data, not just what they ask for

• Bring a strong engineering discipline to data work; version control, CI/CD, code review

• Build the data infrastructure and governance needed to support new AI/ML use cases, including reliable access to high-quality, well-understood data

What We’re Looking For

• 6+ years of data engineering experience

• Ability to independently own complex data systems from design through production and make sound architectural tradeoffs

• Strong product and stakeholder instincts - you can translate ambiguous business needs into durable data solutions

• Deep, production-grade SQL and Snowflake expertise

• Deep experience with dbt, including testing, documentation, dependencies, and deployment

• Software engineering discipline — Git-based version control, CI/CD for data pipelines, and strong Python skills for building data pipelines, orchestration, and custom transformations

• A track record of building testing, monitoring, and alerting into pipelines before something breaks, not after

Nice to Haves

• Familiarity with BI/analytics tools, ideally Sigma

• Experience with orchestration and workflow tooling

• Depth with cloud platforms

• Exposure to supporting ML/AI pipelines or streaming and real-time data

Attributes that will make you successful on our team

• A strong desire to learn. You are curious and willing to dive deep to become a subject matter expert in our domain

• Tenacity. You enjoy working on challenges that others can’t or don’t want to tackle and you aren’t afraid of failing fast in order to find better solutions.

• Passion. You love using your skills to solve real problems. You hold yourself to a high standard and help to elevate others as well.

• Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up, and these diverse perspectives enrich both our team and our product.

• Customer-centric mindset. You put customers at the heart of everything they do, striving to understand their needs and exceed their expectations

• Innovation: Passion for exploring and implementing AI technologies to enhance automation, optimize workflows, and drive innovation

Benefits

• Remote first

• Competitive salary and equity

• Flex PTO policy

• 401(k)

• Generous medical, dental and vision plans

• 16 weeks paid parental leave for primary and secondary caregivers

• $1,000 reimbursement for work-from-home tech setup

• $1,000 reimbursement for learning and development

• Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel

Compensation

Compensation is something we don’t want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenants of our compensation philosophy are fairness and transparency. We have established a standardized leveling framework based on job scope and responsibilities. This means that every person at a certain level is paid the same as everyone else, regardless of their background, previous compensation, location, or any other factor. The compensation for this role is $190,000-$210,000 and includes a generous equity package.

Application

Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! There’s a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply, including women, nonbinary folx, people of color, members of the LGBTQ community, veterans, and people with disabilities. We’re committed to building an inclusive workplace where everyone can bring their authentic self and thrive, and we value the diversity brought by different life experiences.

It’s a new day with a new opportunity at 8am!

About the role:

8am is looking for a Senior Data Engineer to help design and scale the data platform that power analytics, product insights, and machine learning across the company.  In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights.  You’ll also help set engineering standards, mentor teammates, and drive momentum across the team by improving the way we build, review, and operate data systems.

This role is hired through an Employer of Record (EOR) partner in the Czech Republic.

About us:

8am builds software that helps professionals run stronger businesses. Our platform powers payments, client experience, and operational workflows for legal, accounting, and other service-based businesses. U.S. based professionals count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

More than 250,000 professionals across the U.S. rely on our products every day. As we continue to grow, we’re investing in the next generation of our platform and are looking for experienced engineers who want to help shape its future.

What you’ll do:

• Lead design discussions around data architecture, modeling strategy, and platform evolution
• Identify opportunities to simplify and scale the data platform
• Drive improvements to data reliability, observability, and data quality
• Establish and promote best practices for data modeling, testing, and code review
• Help the team prioritize work and balance speed with technical quality
• Develop and optimize ETL processes
• Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job
• Mentor other data engineers
• Challenge how business use cases fit together and fit into our product
• Determine and proactively communicate future impacts of proposed or ongoing work
• Help the team mitigate any issues that arise in their product and its ecosystem
• Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting
• Provide technical guidance to help Data Engineering evolve access to data platform
• Work with engineering to integrate tracking of new functionality into the data ecosystem
• Optimize the performance of business-critical queries
• Explain why the projects their team is working on have been prioritized over other projects

About you:

• 7+ years of data engineering experience
• Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.)
• Strong experience designing and building data pipelines and data platforms
• Cloud infrastructure experience (AWS preferred)
• Experience building and maintaining relational as well as  document, key-value, and other noSQL databases
• Advanced Python & SQL skills
• Experience working with third-party APIs for data integration
• Experience with business process automation
• Bachelor’s degree or higher in a technical field (or similar combination of education and experience)
• Spark and Redshift experience (PySpark preferred)
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.)
• Experience with Infrastructure as Code (Terraform / CloudFormation)
• Experience with event or streaming systems (Kafka or similar)
• CI/CD experience
• Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.
• This position is preferably based in Brno, Czech Republic

Additional Information

The monthly gross salary range for this position is CZK 91,000 to CZK 125,000. 8am is committed to fair, objective, and non-discriminatory compensation, and actual pay may vary based on job-related knowledge, skills, experience, and education.

Why join our new 8am Brno hub?

• Founding Team Impact: Be a founding engineer of our new Brno R&D hub. After a brief 1-6 month integration with U.S. based teams, you will help form fully autonomous, locally-led squads with clear paths to Staff and leadership roles
• Drive our “AI-First” Transformation: We are building a secure, massive-scale “Unified AI Platform”. Depending on your squad, you will either help architect this core infrastructure (LLM routing, RAG, agent orchestration) or build directly on top of it.
• Build the Next Generation of Our Platform: Help shape the systems powering products used by more than 250,000 professionals. You’ll work on complex platform capabilities across payments, workflow automation, and AI-powered features as we expand into new professional service markets.

Benefits and Perks

We offer a competitive, locally relevant benefits package designed to support your life in the Czech Republic while giving you access to global opportunities:

• Performance bonus opportunities and employee referral rewards
• Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations, plus additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage

Grow Your Career

• Access to Coursera (including Gen AI Academy) and ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement

What Makes 8am Different:

• International company environment with collaboration across Europe and the U.S.
• Opportunities to travel for company events (including potential U.S. visits)
• Engaging team culture with local events, outings, and community initiatives
• High-quality company swag and programs focused on wellness, learning, and connection

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach.

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

Applicant Data Privacy Notice:

Your personal data will be collected and retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.  Full policy linked here.

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.

We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through Hollywood Casino, theScore Bet Sportsbook, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.

When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.

About the Role & Team The SRE team at PENN Entertainment is looking for a Senior Site Reliability Engineer to help build and operate the infrastructure behind a large-scale sports betting and media platform. You’ll own critical infrastructure across compute, networking, storage, and cloud services (GCP/AWS) — driving complex migrations, building  platform tooling and automation (ArgoCD, Helm, GitHub Actions), and improving observability and incident response across hundreds of production services spanning multiple regulated jurisdictions. We’re looking for someone with strong Kubernetes and distributed systems experience, proficiency in Go, Python, or Bash, and a track record of leading cross-team infrastructure projects with high autonomy. You’ll solve ambiguous problems, reduce operational toil through automation, mentor teammates, and bring a production-first perspective to architecture decisions — all on a team that values pragmatic engineering, real ownership, and continuous improvement of how we work.

About the Work

• Drive complex infrastructure migrations and projects — scoping, planning, execution, and validation across multiple production environments and jurisdictions
• Build and maintain platform tooling and automation — ArgoCD, Helm, GitHub Actions, release pipelines, and service onboarding workflows that reduce toil for SRE and development teams
• Support development teams — consult on infrastructure needs, unblock cross-team dependencies, review architecture proposals, and help teams adopt platform tooling and best practices
• Design and improve observability and alerting — Datadog monitors, dashboards, and runbooks that surface meaningful signals and make systems operable by the whole team
• Provide operational support and incident response — investigate and resolve production issues through structured debugging and root cause analysis, and contribute to on-call rotations to maintain platform reliability

About You

• 5+ Years of Experience in a similar role (DevOps, Site Relatability Engineer)
• Strong experience operating and troubleshooting Kubernetes in a production Linux environment (cluster lifecycle, networking, storage, scheduling)
• Experience working with AWS, GCP, and/or on-premise environments
• Proficiency in at least two of: Go, Python, Bash/Shell — for building tooling, automation, and debugging production systems
• Deep understanding of distributed systems — failure modes, networking fundamentals, capacity planning, and performance analysis
• Experience with GitOps and CI/CD workflows (ArgoCD, Helm, GitHub Actions, or similar)
• Experience with infrastructure-as-code (Terraform, Helm, or equivalent)
• Track record of leading complex migrations or infrastructure projects with cross-team dependencies
• Strong incident response and troubleshooting skills — structured debugging across multiple services and infrastructure layers
• Clear technical communication — you write docs others can use, explain trade-offs to varied audiences, and proactively unblock cross-team dependencies

Nice to have

• Experience with service mesh technologies (Istio, Cilium)
• Familiarity with distributed storage systems (Ceph, or similar)
• Experience with bare-metal Kubernetes or Talos OS
• Exposure to regulated environments (sports betting, fintech, or similar compliance-heavy domains)
• Experience with Datadog or comparable observability platforms at scale
• Familiarity with database operations — PostgreSQL, connection pooling (PgBouncer), or database migration tooling

What We Offer

• Competitive compensation package.
• Comprehensive Benefits package.
• Fun, relaxed work environment.
• Education and conference reimbursements.

#LI-REMOTE

Salary Range

$145,000—$193,000 USD

Penn Interactive is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.Base pay is one part of the Total Rewards that Penn Interactive provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Penn Interactive provides best-in-class benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.

We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through Hollywood Casino, theScore Bet Sportsbook, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.

When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.

About the Role & Team The SRE team at PENN Entertainment is looking for a Senior Site Reliability Engineer to help build and operate the infrastructure behind a large-scale sports betting and media platform. You’ll own critical infrastructure across compute, networking, storage, and cloud services (GCP/AWS) — driving complex migrations, building  platform tooling and automation (ArgoCD, Helm, GitHub Actions), and improving observability and incident response across hundreds of production services spanning multiple regulated jurisdictions. We’re looking for someone with strong Kubernetes and distributed systems experience, proficiency in Go, Python, or Bash, and a track record of leading cross-team infrastructure projects with high autonomy. You’ll solve ambiguous problems, reduce operational toil through automation, mentor teammates, and bring a production-first perspective to architecture decisions — all on a team that values pragmatic engineering, real ownership, and continuous improvement of how we work.

About the Work

• Drive complex infrastructure migrations and projects — scoping, planning, execution, and validation across multiple production environments and jurisdictions
• Build and maintain platform tooling and automation — ArgoCD, Helm, GitHub Actions, release pipelines, and service onboarding workflows that reduce toil for SRE and development teams
• Support development teams — consult on infrastructure needs, unblock cross-team dependencies, review architecture proposals, and help teams adopt platform tooling and best practices
• Design and improve observability and alerting — Datadog monitors, dashboards, and runbooks that surface meaningful signals and make systems operable by the whole team
• Provide operational support and incident response — investigate and resolve production issues through structured debugging and root cause analysis, and contribute to on-call rotations to maintain platform reliability

About You

• 5+ Years of Experience in a similar role (DevOps, Site Relatability Engineer)
• Strong experience operating and troubleshooting Kubernetes in a production Linux environment (cluster lifecycle, networking, storage, scheduling)
• Experience working with AWS, GCP, and/or on-premise environments
• Proficiency in at least two of: Go, Python, Bash/Shell — for building tooling, automation, and debugging production systems
• Deep understanding of distributed systems — failure modes, networking fundamentals, capacity planning, and performance analysis
• Experience with GitOps and CI/CD workflows (ArgoCD, Helm, GitHub Actions, or similar)
• Experience with infrastructure-as-code (Terraform, Helm, or equivalent)
• Track record of leading complex migrations or infrastructure projects with cross-team dependencies
• Strong incident response and troubleshooting skills — structured debugging across multiple services and infrastructure layers
• Clear technical communication — you write docs others can use, explain trade-offs to varied audiences, and proactively unblock cross-team dependencies

Nice to have

• Experience with service mesh technologies (Istio, Cilium)
• Familiarity with distributed storage systems (Ceph, or similar)
• Experience with bare-metal Kubernetes or Talos OS
• Exposure to regulated environments (sports betting, fintech, or similar compliance-heavy domains)
• Experience with Datadog or comparable observability platforms at scale
• Familiarity with database operations — PostgreSQL, connection pooling (PgBouncer), or database migration tooling

What We Offer

• Competitive compensation package.
• Comprehensive Benefits package.
• Fun, relaxed work environment.
• Education and conference reimbursements.

#LI-REMOTE

Salary Range

$145,000—$193,000 CAD

Penn Interactive is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.Base pay is one part of the Total Rewards that Penn Interactive provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Penn Interactive provides best-in-class benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we’re a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

The Opportunity

We don’t just use AI. We build with it, ship with it, and think with it. With a generous budget for tokens, our engineers use AI agents to write, review, and ship production code every day. We are building toward a world where humans design systems and AI builds them, and we are already far along that path.

We are looking for a hungry, highly autonomous Staff or Senior level Product Engineer to help and scale our internal tools. The Internal Tools team is the operational engine of Luxury Presence. Your customers are our own people: Customer Success, Sales, Onboarding, and fellow engineering teams. If an internal team needs a tool to move faster, automate a bottleneck, or serve our clients better, you will build it or support the architecture to make it happen.

This role requires a true “10x engineer” who leverages AI development workflows (like Claude Code and Orca) to ship high-quality code at an unprecedented pace. You will be touching everything from complex UI dashboards in React to background job processing in NestJS, and deeply integrating it with our core data ecosystem.

What You’ll Do

• Lead internal product development. Partner with teams across Customer Success, Sales, Onboarding, and Engineering to uncover operational bottlenecks and design intuitive, high-leverage tools that multiply their effectiveness.
• Own the internal tool ecosystem. Architect and scale our internal platform (Scout) across the full stack. You’ll weave together our React frontends, NestJS backends, and complex data integrations (spanning our CRM, data warehouse, and communication platforms) into a unified, reliable experience.
• Accelerate delivery through AI. Integrate AI natively into your daily workflow. You will use agents to write, review, and ship production code, turning complex requirements into working software at an elite pace.
• Turn ambiguity into impact. Take ownership of open-ended business challenges. You will act as both product manager and lead engineer for internal tools—scoping the true need, designing the solution, and shipping it end-to-end.

What We’re Looking For

Attributes:

• You are an AI-native developer. You have deep experience with AI development workflows and tools (Claude Code, Cursor). You understand how to prompt, iterate, and use AI to output 10x the impact of a traditional engineer.
• You get joy from helping others. You are deeply empathetic to your internal users. You measure your success by the time you save others and the headaches you eliminate.
• You are highly product-oriented. You care deeply about the how and why of software. You view your internal coworkers as your highest-priority customers, always asking if a feature actually solves their core problem before writing a line of code.
• You are hungry and autonomous. You don’t wait for a perfectly scoped Jira ticket. You are a problem solver who digs into the business need, proposes a technical solution, and ships it.
• You think in systems. You can reason about the whole request path from UI to data, understanding how internal tooling impacts the broader platform architecture.

Skills and Experience:

• Extensive experience as a Senior or Staff-level full-stack engineer in a fast-paced, high-growth environment.
• Deep expertise in TypeScript, Node.js, and React.
• Experience building scalable backend services (NestJS preferred) and designing robust GraphQL APIs (code-first resolvers).
• Strong database fundamentals using ORMs (Sequelize) over PostgreSQL, and experience writing integration tests against real databases.
• Comfortable operating in a modern DevOps environment, relying on feature flags, rigorous testing, and solid observability.

Tech Stack

• Frontend: React SPA (Vite), TypeScript, Tailwind, React Router, Apollo Client. Vitest + RTL for testing, Playwright for e2e.
• Backend: Node.js, NestJS, TypeScript, GraphQL (code-first resolvers).
• Data & Background: PostgreSQL (via Sequelize), Bull/Redis for background jobs. Deep integrations with Salesforce, Snowflake/Flurry, Dialpad, Zoom, Front, and Anthropic. Testing via Jest + Supertest.
• Infrastructure: Docker, Kubernetes via ArgoCD, Flyway for migrations, LaunchDarkly for flags, Datadog for logs/APM/RUM.

Join us in shaping the future of real estate

The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.

We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.

Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We’re backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date.

More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry’s most powerful brokerages rely on Luxury Presence as a trusted business partner.

Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform.

Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Recruitment Notice: Luxury Presence employees will only contact candidates from an @luxurypresence.com email address. We may work with trusted recruiting partners who will contact you from their company’s email domain. If you have questions about the authenticity of a recruiting communication, please contact [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence.  We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We have raised $77M and are backed by Craft Ventures (Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures ( Redis, Rollbar,  Gradle).

Senior Backend Engineer, Core APIs (SRE Focus)

We are seeking an experienced Senior Software Engineer to help build and operate the end-to-end fraud detection systems behind our Core APIs. Your primary responsibility will be building highly performant backend systems and keeping them reliable at scale. This is a hybrid backend/SRE role: you’ll write the services and you’ll own how they behave in production.

This role requires strong experience in backend software development, particularly API development and scaling existing systems in both Go and Node.js, paired with a genuine interest in reliability engineering. You’ll design and implement scalable, high-performance backend systems, maintain their SLOs, and take ownership of features from concept through deployment and steady-state operation.

A key aspect of this role involves a deep understanding of scaling and operating distributed systems, allowing us to multiply our capacity safely and efficiently as our user base continues to grow rapidly.

What you’ll do:

• Design, develop, and optimize backend systems for real-time data processing and web services, with reliability, latency, and cost as first-class design constraints.
• Define and own SLIs and SLOs for Core API services, and use error budgets to make concrete tradeoffs between shipping velocity and stability.
• Build and maintain the observability that makes these systems debuggable: Meaningful metrics, structured logging, distributed tracing, and alerts that fire on user-visible symptoms rather than noise.
• Participate in a shared on-call rotation, act as an effective responder during incidents, and lead blameless postmortems. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions.
• Drive down operational toil by automating recurring manual work, and close the loop on incident action items so the same failure doesn’t happen twice.
• Conduct capacity planning, load testing, and performance tuning to ensure the platform scales ahead of demand.
• Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements.
• Work with cross-functional teams to integrate backend components with other services, ensuring performance and scalability.
• Foster a data-driven, reliability-minded culture by sharing engineering best practices and collaborating on cross-functional projects.
• Mentor other developers, helping all team members grow in our mission, values, and abilities.

What you bring:

• 5+ years of experience in backend development, including meaningful time operating what you built in production.
• Formal SRE practice experience — error budget policies, capacity models, production readiness reviews, chaos or fault-injection testing.
• Strong, demonstrated experience in GoLang and/or Node.js with a willingness to learn.
• Strong experience in designing, developing, and maintaining scalable backend systems.
• Experience with building and optimizing APIs, real-time data processing systems, and microservices architectures.
• Hands-on experience running production services on containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with infrastructure-as-code tools like Terraform or AWS CloudFormation.
• Working fluency with observability tooling such as Datadog or comparable monitoring, logging, and tracing platforms — including instrumenting services and building useful dashboards and alerts.
• Experience participating in an on-call rotation: triaging live incidents, mitigating impact, and writing up what happened afterward.
• Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
• Proficient in English for clear communication in a global, remote team.
• Ability to work independently on tasks while effectively collaborating as a team member.
• A strong desire to mentor and grow junior team members.

Nice to Have:

• BS/MS in Computer Science or a related field, or equivalent work experience.
• Practical experience with analytical storage systems like ClickHouse, Snowflake, BigQuery, Redshift, or Databricks.
• Experience with performance profiling and cost optimization of high-throughput cloud workloads.
• Experience working with large open-source projects to address the needs of a wide variety of stakeholders, and demonstrated ability to work and communicate asynchronously across a world-wide team.
• Demonstrated experience with both Node.js and Go in a backend context.
• Excellent understanding of Internet security & privacy mechanisms.

Tools and Technologies:

• Backend development: Golang and NodeJS (Preferred), TypeScript, Express or equivalent.
• Infrastructure and delivery: AWS, Terraform, Docker, Kubernetes, CI/CD pipelines.
• Observability: Datadog, metrics/logging/tracing.
• Data analytics/processing: ClickHouse, dbt.

Compensation Range

For US-based employees, the cash compensation range for this role is $150,000 – $200,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.

Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here.

If you are applying as a resident of the EU, please read our GDPR notice here.

**We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

The Company

Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - creating a smoother, more fan-friendly experience. Jump was founded by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser. We’re backed by top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures.

Our platform powers teams across the NBA, WNBA, and NWSL among other leagues, helping them boost ticket sales and deliver innovative fan experiences. We’re a remote-first team driven by core values - begin and build with trust, play like the underdog, win as a team, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you.

The Role

Jump is seeking a Senior Data Engineer to join our nimble Data team, where you’ll help build and evolve the data platform that powers the company. You’ll own the reliability and performance of our Snowflake and dbt-powered stack, building the pipelines and models that make data trustworthy and usable across Jump - from internal dashboards to client-facing products. As we create and iterate on agentic functionality across our product, you’ll help shape how Jump builds on and leverages its data foundation. This is a hands-on, high-ownership role spanning data platform, analytics engineering, and data infrastructure. You’ll work across the stack, solving problems end-to-end while helping shape the architecture and data practices that will support Jump as we scale.

What You’ll Do

• Build and maintain ELT pipelines that turn raw data into modular, well-tested dbt models inside Snowflake

• Design and maintain reliable data orchestration and workflows as the platform grows in complexity

• Write and maintain dbt tests that catch issues before they reach a critical point

• Document models and sources so the meaning of our data is discoverable

• Build monitoring and alerting that surfaces pipeline failures and data anomalies before anyone has to ask

• Optimize Snowflake table design and materialization strategy to keep performance high and costs in check as data volume grows

• Help evolve Snowflake access controls and governance, keeping roles, grants, and security aligned with organizational standards

• Dig into what internal teams and external clients actually need from our data, not just what they ask for

• Bring a strong engineering discipline to data work; version control, CI/CD, code review

• Build the data infrastructure and governance needed to support new AI/ML use cases, including reliable access to high-quality, well-understood data

What We’re Looking For

• 6+ years of data engineering experience

• Ability to independently own complex data systems from design through production and make sound architectural tradeoffs

• Strong product and stakeholder instincts - you can translate ambiguous business needs into durable data solutions

• Deep, production-grade SQL and Snowflake expertise

• Deep experience with dbt, including testing, documentation, dependencies, and deployment

• Software engineering discipline — Git-based version control, CI/CD for data pipelines, and strong Python skills for building data pipelines, orchestration, and custom transformations

• A track record of building testing, monitoring, and alerting into pipelines before something breaks, not after

Nice to Haves

• Familiarity with BI/analytics tools, ideally Sigma

• Experience with orchestration and workflow tooling

• Depth with cloud platforms

• Exposure to supporting ML/AI pipelines or streaming and real-time data

Attributes that will make you successful on our team

• A strong desire to learn. You are curious and willing to dive deep to become a subject matter expert in our domain

• Tenacity. You enjoy working on challenges that others can’t or don’t want to tackle and you aren’t afraid of failing fast in order to find better solutions.

• Passion. You love using your skills to solve real problems. You hold yourself to a high standard and help to elevate others as well.

• Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up, and these diverse perspectives enrich both our team and our product.

• Customer-centric mindset. You put customers at the heart of everything they do, striving to understand their needs and exceed their expectations

• Innovation: Passion for exploring and implementing AI technologies to enhance automation, optimize workflows, and drive innovation

Benefits

• Remote first

• Competitive salary and equity

• Flex PTO policy

• 401(k)

• Generous medical, dental and vision plans

• 16 weeks paid parental leave for primary and secondary caregivers

• $1,000 reimbursement for work-from-home tech setup

• $1,000 reimbursement for learning and development

• Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel

Compensation

Compensation is something we don’t want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenants of our compensation philosophy are fairness and transparency. We have established a standardized leveling framework based on job scope and responsibilities. This means that every person at a certain level is paid the same as everyone else, regardless of their background, previous compensation, location, or any other factor. The compensation for this role is $190,000-$210,000 and includes a generous equity package.

Application

Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! There’s a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply, including women, nonbinary folx, people of color, members of the LGBTQ community, veterans, and people with disabilities. We’re committed to building an inclusive workplace where everyone can bring their authentic self and thrive, and we value the diversity brought by different life experiences.

Company Description

👋🏼 We’re Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Qualifications

• 5+ years of experience in programming roles using C#
• Knowledge of JavaScript, HTML, CSS
• Expertise in ASP.NET MVC or ASP.NET Core, ASP.NET Web API
• Experience in Angular, React or other JS frameworks
• Comfortable with Object-oriented programming, microservices, and cloud development
• Comfortable using modern tools and platforms such as Docker, Jenkins, Gitlab CI, etc.
• Comfortable using agile methodologies

Additional Information

Click here to access the application privacy notice

The Company

Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - creating a smoother, more fan-friendly experience. Jump was founded by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser. We’re backed by top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures.

Our platform powers teams across the NBA, WNBA, and NWSL among other leagues, helping them boost ticket sales and deliver innovative fan experiences. We’re a remote-first team driven by core values - begin and build with trust, play like the underdog, win as a team, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you.

The Role

Jump is seeking a Senior Data Engineer to join our nimble Data team, where you’ll help build and evolve the data platform that powers the company. You’ll own the reliability and performance of our Snowflake and dbt-powered stack, building the pipelines and models that make data trustworthy and usable across Jump - from internal dashboards to client-facing products. As we create and iterate on agentic functionality across our product, you’ll help shape how Jump builds on and leverages its data foundation. This is a hands-on, high-ownership role spanning data platform, analytics engineering, and data infrastructure. You’ll work across the stack, solving problems end-to-end while helping shape the architecture and data practices that will support Jump as we scale.

What You’ll Do

• Build and maintain ELT pipelines that turn raw data into modular, well-tested dbt models inside Snowflake

• Design and maintain reliable data orchestration and workflows as the platform grows in complexity

• Write and maintain dbt tests that catch issues before they reach a critical point

• Document models and sources so the meaning of our data is discoverable

• Build monitoring and alerting that surfaces pipeline failures and data anomalies before anyone has to ask

• Optimize Snowflake table design and materialization strategy to keep performance high and costs in check as data volume grows

• Help evolve Snowflake access controls and governance, keeping roles, grants, and security aligned with organizational standards

• Dig into what internal teams and external clients actually need from our data, not just what they ask for

• Bring a strong engineering discipline to data work; version control, CI/CD, code review

• Build the data infrastructure and governance needed to support new AI/ML use cases, including reliable access to high-quality, well-understood data

What We’re Looking For

• 6+ years of data engineering experience

• Ability to independently own complex data systems from design through production and make sound architectural tradeoffs

• Strong product and stakeholder instincts - you can translate ambiguous business needs into durable data solutions

• Deep, production-grade SQL and Snowflake expertise

• Deep experience with dbt, including testing, documentation, dependencies, and deployment

• Software engineering discipline — Git-based version control, CI/CD for data pipelines, and strong Python skills for building data pipelines, orchestration, and custom transformations

• A track record of building testing, monitoring, and alerting into pipelines before something breaks, not after

Nice to Haves

• Familiarity with BI/analytics tools, ideally Sigma

• Experience with orchestration and workflow tooling

• Depth with cloud platforms

• Exposure to supporting ML/AI pipelines or streaming and real-time data

Attributes that will make you successful on our team

• A strong desire to learn. You are curious and willing to dive deep to become a subject matter expert in our domain

• Tenacity. You enjoy working on challenges that others can’t or don’t want to tackle and you aren’t afraid of failing fast in order to find better solutions.

• Passion. You love using your skills to solve real problems. You hold yourself to a high standard and help to elevate others as well.

• Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up, and these diverse perspectives enrich both our team and our product.

• Customer-centric mindset. You put customers at the heart of everything they do, striving to understand their needs and exceed their expectations

• Innovation: Passion for exploring and implementing AI technologies to enhance automation, optimize workflows, and drive innovation

Benefits

• Remote first

• Competitive salary and equity

• Flex PTO policy

• 401(k)

• Generous medical, dental and vision plans

• 16 weeks paid parental leave for primary and secondary caregivers

• $1,000 reimbursement for work-from-home tech setup

• $1,000 reimbursement for learning and development

• Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel

Compensation

Compensation is something we don’t want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenants of our compensation philosophy are fairness and transparency. We have established a standardized leveling framework based on job scope and responsibilities. This means that every person at a certain level is paid the same as everyone else, regardless of their background, previous compensation, location, or any other factor. The compensation for this role is $190,000-$210,000 and includes a generous equity package.

Application

Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! There’s a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply, including women, nonbinary folx, people of color, members of the LGBTQ community, veterans, and people with disabilities. We’re committed to building an inclusive workplace where everyone can bring their authentic self and thrive, and we value the diversity brought by different life experiences.

It’s a new day with a new opportunity at 8am!

About the role:

8am is looking for a Senior Data Engineer to help design and scale the data platform that power analytics, product insights, and machine learning across the company.  In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights.  You’ll also help set engineering standards, mentor teammates, and drive momentum across the team by improving the way we build, review, and operate data systems.

This role is hired through an Employer of Record (EOR) partner in the Czech Republic.

About us:

8am builds software that helps professionals run stronger businesses. Our platform powers payments, client experience, and operational workflows for legal, accounting, and other service-based businesses. U.S. based professionals count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

More than 250,000 professionals across the U.S. rely on our products every day. As we continue to grow, we’re investing in the next generation of our platform and are looking for experienced engineers who want to help shape its future.

What you’ll do:

• Lead design discussions around data architecture, modeling strategy, and platform evolution
• Identify opportunities to simplify and scale the data platform
• Drive improvements to data reliability, observability, and data quality
• Establish and promote best practices for data modeling, testing, and code review
• Help the team prioritize work and balance speed with technical quality
• Develop and optimize ETL processes
• Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job
• Mentor other data engineers
• Challenge how business use cases fit together and fit into our product
• Determine and proactively communicate future impacts of proposed or ongoing work
• Help the team mitigate any issues that arise in their product and its ecosystem
• Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting
• Provide technical guidance to help Data Engineering evolve access to data platform
• Work with engineering to integrate tracking of new functionality into the data ecosystem
• Optimize the performance of business-critical queries
• Explain why the projects their team is working on have been prioritized over other projects

About you:

• 7+ years of data engineering experience
• Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.)
• Strong experience designing and building data pipelines and data platforms
• Cloud infrastructure experience (AWS preferred)
• Experience building and maintaining relational as well as  document, key-value, and other noSQL databases
• Advanced Python & SQL skills
• Experience working with third-party APIs for data integration
• Experience with business process automation
• Bachelor’s degree or higher in a technical field (or similar combination of education and experience)
• Spark and Redshift experience (PySpark preferred)
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.)
• Experience with Infrastructure as Code (Terraform / CloudFormation)
• Experience with event or streaming systems (Kafka or similar)
• CI/CD experience
• Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.
• This position is preferably based in Brno, Czech Republic

Additional Information

The monthly gross salary range for this position is CZK 91,000 to CZK 125,000. 8am is committed to fair, objective, and non-discriminatory compensation, and actual pay may vary based on job-related knowledge, skills, experience, and education.

Why join our new 8am Brno hub?

• Founding Team Impact: Be a founding engineer of our new Brno R&D hub. After a brief 1-6 month integration with U.S. based teams, you will help form fully autonomous, locally-led squads with clear paths to Staff and leadership roles
• Drive our “AI-First” Transformation: We are building a secure, massive-scale “Unified AI Platform”. Depending on your squad, you will either help architect this core infrastructure (LLM routing, RAG, agent orchestration) or build directly on top of it.
• Build the Next Generation of Our Platform: Help shape the systems powering products used by more than 250,000 professionals. You’ll work on complex platform capabilities across payments, workflow automation, and AI-powered features as we expand into new professional service markets.

Benefits and Perks

We offer a competitive, locally relevant benefits package designed to support your life in the Czech Republic while giving you access to global opportunities:

• Performance bonus opportunities and employee referral rewards
• Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations, plus additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage

Grow Your Career

• Access to Coursera (including Gen AI Academy) and ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement

What Makes 8am Different:

• International company environment with collaboration across Europe and the U.S.
• Opportunities to travel for company events (including potential U.S. visits)
• Engaging team culture with local events, outings, and community initiatives
• High-quality company swag and programs focused on wellness, learning, and connection

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach.

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

Applicant Data Privacy Notice:

Your personal data will be collected and retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.  Full policy linked here.

What is Teachable? Teachable is the platform for experts and businesses who take education seriously. In a world where anyone can ask AI for information, we’re the home for those...

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem...

Headquarters:

We are seeking a Senior Software Engineer to build and scale production-grade AI-powered financial products. This is a hands-on engineering role focused on backend platform development, AI integration, and distributed systems. The ideal candidate has strong experience with TypeScript, Python, cloud-native architectures, and applying LLMs in real-world production environments.

General Information

Our client is a fast-growing, Series A-backed AI company delivering agentic AI solutions to banks and credit unions. Their platform is already serving over 100 financial institutions and more than 10 million end users.

The Senior Software Engineer will work closely with the VP of Engineering, CTO, and CEO to design, build, and operate scalable backend services and AI-powered applications. This role combines platform engineering with practical AI implementation, requiring an engineer who enjoys building production systems rather than conducting AI research.

Tasks and Deliverables

• Design, develop, and maintain scalable backend services powering AI-driven financial products.
• Own technical decisions across system architecture, APIs, data models, performance, security, and reliability.
• Build backend applications using TypeScript and Python, while contributing to frontend functionality with JavaScript when needed.
• Integrate LLMs and agentic AI capabilities into production software.
• Design and implement distributed, cloud-native systems with strong observability and operational excellence.
• Define engineering best practices around code quality, testing, deployment, and incident response.
• Collaborate closely with product, design, data, and engineering leadership to deliver customer-facing features.
• Utilize modern AI development tools to improve engineering productivity and software quality.

Required Experience

• 5+ years of professional software engineering experience building production-grade applications.
• Strong proficiency in TypeScript and/or Python.
• Experience designing scalable backend systems, APIs, and distributed architectures.
• Strong knowledge of cloud platforms such as AWS or GCP.
• Hands-on experience integrating Large Language Models (LLMs) into production applications.
• Experience with prompt engineering and applying AI to solve real business problems.
• Strong understanding of software architecture, scalability, performance optimization, reliability, and security.
• Experience working in fast-paced product environments with significant technical ownership.
• Bachelor's degree in Computer Science or related discipline.

Preferred Experience

• Conversational AI, Agentic AI, NLP, or dialogue systems.
• Fintech, banking, or regulated industry experience.
• Startup experience building products from early stages through scale.
• Experience with observability, CI/CD, Kubernetes, Docker, and modern DevOps practices.
• Familiarity with AI developer tools such as Cursor or Claude Code.
• Engagement Highlights
• Build production AI systems used by millions of banking customers.
• Work directly with executive engineering leadership on high-impact technical initiatives.
• Hands-on engineering role with ownership across architecture, implementation, and delivery.
• Opportunity to combine backend engineering expertise with practical LLM and agentic AI development.
• Join a profitable, AI-first company building the next generation of intelligent financial services.

To apply: https://weworkremotely.com/remote-jobs/toptal-senior-software-engineer-for-ai-powered-banking-platform

The Opportunity

We’re building a multi-tenant website platform that generates, publishes, and maintains client websites at fleet scale — and we’re building it from the foundation up, starting now.

MyAdvice powers the digital presence of thousands of healthcare practices. Today those sites live on a fragmented legacy stack: individually built, individually maintained, individually patched. We’re replacing all of it with a single platform on Payload — self-hosted, MIT-licensed, entirely under our control — where a new client site is provisioned by an API call in minutes rather than assembled by hand over weeks.

The interesting part is what sits on top. We’re pairing that platform with a generative AI pipeline that designs, lays out, and populates sites: a practice’s brand and content in, a complete, on-brand, SEO-clean website out. Not a template picker — actual generation, at scale, with quality high enough to put a real business’s front door on it.

Nobody has fully solved this. We’re going to find the limits ourselves — of fleet-scale site creation, of generative design and content, of multi-tenant security and healthcare compliance, of maintaining and performance-tuning an enormous number of sites from one codebase. Those limits are the job.

This is a cornerstone of MyAdvice’s product going forward, and it’s being built now, by a small senior team, with the architecture still open. You would be the engineer who owns the platform itself — not configuring someone else’s, not maintaining someone else’s decisions. Yours, from the first migration onward, with your judgment in the load-bearing parts.

Foundational seats on a platform this consequential don’t come up often.

What you’ll own

Multi-tenancy — the heart of it. You’ll build on Payload’s multi-tenant foundation and harden it for scale: per-query tenant scoping, access control, tenant-aware routing, custom domains. Isolation is enforced in our own application code, which makes its correctness the most important thing you’ll own. Every site on the platform belongs to a real healthcare business with real patients’ trust attached. You’ll design the guardrails, the test strategy, and the review discipline that make failure here structurally hard — not just carefully avoided.

The data model. The Postgres schema and access patterns behind an ever-growing tenant fleet: modeling, indexing, migrations, and query performance that stays flat as the fleet grows.

The infrastructure architecture. You are the primary architect of the infrastructure this platform runs on: environments, deployment topology, scaling strategy, the data layer, and the cost model that comes with them. You plan it and you build it. Our DevOps team then provisions, operates, and maintains it — so your design has to be good enough that someone else can run it.

A visual editing experience people actually enjoy. Payload’s admin is developer-facing, and there’s no client-ready page builder out of the box — so we build one. Real product engineering: a block-based editor (Puck or similar) that non-technical marketers and delivery teams can move fast in without breaking anything.

Automated provisioning. Tenant creation driven entirely by API — create, seed a template, apply per-tenant design tokens, publish — fully unattended, in minutes, no manual steps. This is the hook our AI onboarding pipeline calls, and it’s what makes the economics of the whole platform work.

The theming engine. One codebase, per-tenant design tokens, genuinely distinct sites, zero per-tenant code. The mechanism that lets every client look bespoke without a single fork.

Rendering, SEO, and performance. These sites exist to be found. You’ll own the Next.js rendering strategy, Core Web Vitals across the fleet, and valid schema.org structured data — performance work where a single improvement compounds across every site at once.

Its long-term health. This isn’t build-and-hand-off. You’ll be the platform’s owner: instrumenting it so problems surface before anyone reports them, triaging and fixing what does, tracking upstream Payload releases and owning the upgrade path, keeping code-level security and compliance sharp, and holding the quality bar as the fleet and the team grow around you.

Integration with our internal systems. The abstraction layer that syncs live practice data — providers, locations, reviews — into every site that needs it, built alongside the architect who knows those systems best.

How The Team Works

You’d join a small, high-trust Website Platform team — a fellow builder, a senior architect who knows our existing systems deeply and will advise, and an AI specialist on the generation pipeline — reporting to our VP of Engineering.

You architect it; DevOps runs it. This is how our engineering team already works: engineers plan and build, DevOps supports and sustains. You’ll own the architecture of the platform and the infrastructure underneath it — the decisions, the design, the build. Our established DevOps team then operates and maintains it and carries infra-level incident response, so the pager isn’t yours. Our senior architect is a close advisor here, with deep historical knowledge of the systems you’ll be integrating with. What you get is real architectural authority without an on-call rotation — and the accountability that comes with it, because your design is what someone else has to keep running.

We work AI-native. Cursor and AI assistants are standard here, and we expect you to use them to raise what you can build — while owning the judgment about what’s safe to ship to a live fleet of client websites.

We also work in phases and prove things before we scale them: a de-risking proof-of-concept that validates multi-tenancy, provisioning, rendering, and cost with real numbers — then the full build. You’d be central to both.

What We’re Looking For

We’re looking for an expert-level engineer in this stack. Specifically:

• Deep, current, production experience with TypeScript, React, and Next.js. You’ve shipped and operated real applications here, at scale — not prototyped.
• Strong Node.js backend engineering — APIs, access control, data modeling, and integration work in production systems.
• Strong PostgreSQL and relational data modeling — schema design, indexing, migrations, and query performance under real load.
• You’ve owned a multi-tenant or security-critical system, where application-level data isolation and access control were genuinely your responsibility. This is the one we won’t compromise on.
• You’ve architected cloud infrastructure and handed it to an ops team to run. Deployment topology, scaling, environments, and the data layer on AWS — designed by you, documented well enough for someone else to operate, and still yours to answer for after it ships.
• You’ve lived with what you built. Production debugging, observability, managing technical debt, evolving a system over years. You want to own something long-term.
• You set the bar on a team — testing, CI/CD, code review, pragmatic architecture — and you raise the engineers around you.
• You’re comfortable without a vendor safety net. Reading dependency source, tracking upstream, patching or contributing when needed, making upgrade calls with confidence.
• Senior judgment. You can be solely responsible for a subsystem, weigh real trade-offs, and make calls you can defend.
• Comfortable in a distributed team with enough overlap for real-time collaboration with US-based colleagues.

Things That Would Make Us Especially Excited

• Direct Payload experience — or depth in another modern headless CMS (Strapi, Directus, Webiny, Sanity, Contentful).
• Puck, or another block-based page-builder framework — or you’ve built content-editing tools for non-technical users before.
• You’ve built or operated a multi-tenant SaaS platform at meaningful scale, especially with custom-domain routing.
• SEO and performance engineering — SSR/SSG strategy, Core Web Vitals, structured data.
• Design-token systems, theming engines, or component-library engineering.
• SSO and identity (SAML, OIDC) and RBAC design.
• Infrastructure-as-code (Terraform, CDK, Pulumi, or similar) and cloud cost modeling at fleet scale.
• Regulated-data experience — HIPAA, or another environment where compliance shaped the architecture.
• You’ve migrated a system off a legacy stack and know what that really takes.
• AI/LLM pipelines integrated into a real product.
• Open-source contributions.

Missing one or two of the “especially excited” list is fine. Depth in the fundamentals and evidence you can own something critical matter more than a full checklist.

Why This One Is Worth Your Time

Most senior platform roles are maintenance on a system whose important decisions were made years ago by someone else. This is the opposite: a greenfield platform, a genuinely hard problem, a clear technical mandate, and a direct line from your work to how thousands of businesses show up online.

You’ll get to answer questions the industry hasn’t settled — how far generative AI can go in producing production-quality websites, how you keep a fleet of that size secure, compliant, fast, and maintainable from a single codebase — and you’ll answer them with real ownership rather than a ticket queue.

If you want to build something large, technically demanding, and lasting, we’d like to talk.

Position Details

• Base Salary: Based on experience and qualifications
• Position Type: Full-time, Salaried
• Schedule: Monday-Friday, 2pm-11pm IST
• Work Location: This position is fully remote to start, but there is the chance this position will be called back to the office in Bangalore. We will prioritize candidates that are located in Bangalore or willing to relocate there.
• Travel: May require occasional local or national travel (less than 5% of the time, if at all).
• Physical Requirements: Prolonged periods sitting at a desk and working on a computer (90% at desk, 10% of time walking); Ability to lift up to 30lbs and use typical office equipment (computers, keyboards, printer, etc.).

Benefits

• Employer-contributed medical insurance (100% premium covered by the company)
• Provident Fund (PF) contributions as per policy
• Leave policy: 12 Sick/Casual Leaves + 18 Annual Leaves + 10 Company Holidays
• Remote-first Company, Flexible Schedules + Early Out Fridays!
• Employee Assistance Program (EAP): free mental health support, financial/legal consultations, and more
• Tuition Reimbursement Program (up to ₹1 lakh annually) + Executive Mentorship Program
• Leadership Training Program: learn the fundamentals of leading a team (available to all employees)
• Ongoing personalized coaching and career development support
• Casual / Business Casual dress code and a fun work environment (games, coffee, snacks, etc.)
• Core value initiatives: “Pay It Forward,” Project Fantastic (client collaboration), and more!

MyAdvice

“We will chase perfection, and we will chase it relentlessly, knowing all the while we can never attain it. But along the way, we shall catch excellence.” - Vince Lombardi

MyAdvice empowers business owners and professionals to increase their revenue by attracting and retaining more clients through digital marketing. The SaaS-based platform enables hands-on control and visibility into performance of online marketing activities, backed by 20+ years of best practices and expertise on how to maximize those efforts. MyAdvice’s six-stage Pyramid of Success™ provides a proven step-by-step plan for how and when to implement growth-oriented marketing tactics for greatest impact, including website design and maintenance, local directories, client reviews, social media, search engine optimization (SEO) and paid advertising. Learn more at myadvice.com.

We are committed to diversity and inclusion as we understand and value its importance to our success. Our team thrives upon our employee’s unique experiences to propel creative solutions, so we aspire to continue building upon our diverse team to include groups that are traditionally underrepresented. Additionally, studies have shown that minorities are less likely to apply for a position if they don’t meet every qualification. MyAdvice prioritizes a strong company culture fit and believes in providing opportunities to individuals with exceptional work ethic. Skills can be taught. With that in mind, if you believe yourself to be a good fit, we strongly encourage people of all backgrounds to apply.

MyAdvice is a performance based and data driven company that has experienced tremendous growth within the last year, so we’re excited for the opportunity to introduce new talent. MyAdvice’s progressive values include transparency, teamwork, relentless effort and intellectual honesty in order to bring about the success of our clients. We encourage continuous education, career development and work/life balance while thriving in a casual and collaborative work environment. With MyAdvice you will be a valued and integral member whom we will continually invest.

About Karius

Karius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions.

Position Summary

We are building and operating a unique software stack of cloud infrastructure, software services, APIs, web and mobile interactive interfaces, and AI-driven data analytics pipelines to deliver life-saving results in the highly complex infectious disease landscape. We believe the success of Karius’ products is driven by both our unique technology and the elegance of the software solution.The Senior Software Engineer will play a key role in designing, developing, and maintaining scalable, reliable software solutions that support Karius’ products and mission. This role requires strong technical judgment, thoughtful problem-solving, and close collaboration across engineering, product, scientific, and clinical teams.

Why Should You Join Us?

Karius aims to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company’s platform is already delivering unprecedented insights into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood, and helping industry accelerate the development of therapeutic solutions. The products Karius offers today are some of the most advanced solutions available to physicians who aim to deliver better care to many otherwise ineffectively treated patients. Our tests are the result of some incredible work done by our scientists, statisticians, engineers, and physicians, all driven by the same mission. You, as part of the Karius team, will be able to see how directly your work has a life-changing impact on people, and at scale.

Reports to:  Senior Director, Engineering

Location:  Redwood City, CA (Hybrid) or Remote (USA)

Primary Responsibilities

• Understand user needs, requirements and objectives by collaborating closely with cross-functional groups across Karius, including Engineering, Software Products, Analytics, Lab Operations, and other business partners, developing strong domain expertise to ensure software solutions align with operational and user needs.

• Create and maintain technical documentation for system designs, software components, workflows, and operational procedures.

• Implementation and end-to-end testing of software solutions and components.

• Monitor the performance, reliability, and scalability of software systems and proactively identify opportunities for improvement.

• Participate in design reviews and code reviews.

• Support production deployments

• Troubleshoot and resolve complex production issues, perform root-cause analysis, and implement sustainable corrective and preventive solutions.

• Identify technical risks, dependencies, and tradeoffs, and provide recommendations to support informed engineering decisions.

• Contribute to the continuous improvement of the engineering lifecycle by collaborating on enhancements to tools, processes, and ways of working.

• Develop strong domain expertise to ensure software solutions are scalable, reliable, and aligned with user and operational requirements.

What’s Fun About the Job?

Karius is operating at the edge of what is now known to be possible in diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don’t suffice. You will get to see how much your work really matters.

Travel: Up to 10% for onsite team building activities.

Physical Requirements

Subject to extended periods of sitting and/or standing, vision to monitor and moderate noise levels. Work is generally performed in an office, lab or clinical environment.

Position Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Bioengineering, or a related technical field involving significant coursework in software development, algorithms, or quantitative problem-solving, with 7+ years of relevant software engineering experience; or a master’s degree in a related technical field with 5+ years of relevant software engineering experience

• Experience designing, developing, deploying, and maintaining backend software solutions in production environments

• Advanced knowledge and 3+ years of experience building and maintaining substantial TypeScript and Node.js services in production

• Experience contributing to the design and implementation of scalable, reliable, and maintainable software systems

• Experience designing and operating microservices-based systems, including event-driven architecture, with a clear understanding of service boundaries, contract evolution, event and message design, error handling across synchronous and asynchronous service calls, and observability

• Experience designing PostgreSQL database schemas, with a strong understanding of transactions, indexing, and migration strategy.

• Working knowledge of containerized, cloud-based systems using technologies such as Docker, Kubernetes, GraphQL, and AWS or equivalent cloud platforms.

• Experience with unit and end-to-end testing frameworks such as Jest, Vitest, Playwright, or similar, with strong test design skills and the ability to translate acceptance criteria or user stories into a balanced coverage strategy across unit, integration, and end-to-end testing.

• Strong knowledge of software engineering practices, including code review, automated testing, source control, continuous integration, deployment, monitoring, observability, and technical documentation.

• Demonstrated ability to independently lead complex technical work, troubleshoot production issues, and deliver high-quality solutions across the software development lifecycle.

• Production experience with Kafka or a comparable event-streaming platform is preferred, including topic design, partition strategy, consumer group behavior, idempotency, ordering guarantees, and handling delayed, failed, or unprocessable messages; Confluent experience is a plus.

• Experience operating services in AWS or similar environments is preferred, including the ability to navigate services such as EKS, RDS, S3, CloudWatch, and IAM and troubleshoot issues across application and infrastructure boundaries.

• Hands-on experience using modern AI coding tools such as Claude, Cursor, GitHub Copilot, or similar to accelerate development, code review, testing, and documentation is preferred.

• Experience in healthcare, life sciences, healthcare domains, diagnostic laboratory environments, next-generation sequencing, or other regulated settings is preferred.

Personal Qualifications

• Demonstrated commitment to engineering excellence, with a strong focus on testability, maintainability, reliability, and long-term system quality.

• Strong written communication skills, with the ability to develop clear design documents, pull request descriptions, test cases, and technical documentation. Strong communication and collaboration skills, with the ability to work effectively with engineering and cross-functional stakeholders.

• Strong problem-solving and analytical skills, with the ability to identify root causes, evaluate tradeoffs, and develop practical, scalable solutions to complex technical challenges.

• Ability to troubleshoot issues across multiple systems, services, applications, and integration points while collaborating effectively across teams.

• Ability to operate effectively in ambiguous environments by asking thoughtful questions, identifying assumptions and dependencies, and helping define a clear path forward.

• Growth-oriented learning mindset, with the curiosity and adaptability to learn new technologies, deepen domain expertise, seek feedback, and continuously improve.

• Ability to thrive in a fast-paced environment, effectively managing shifting priorities, competing demands, and tight deadlines while maintaining quality and attention to detail.

Disclaimer

The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius.

At Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company.  All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual’s race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at [email protected] and we will accommodate qualified individuals with disabilities.

$128,960 - $193,440 a year

About Monte Carlo

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com.

The Role

We’re building the products that tell enterprises whether their AI agents can be trusted — and we need someone who works end to end, from an ambiguous problem statement through research, prototyping, and production. You’d get the problem, not the spec: research the approaches, prototype, prove what works, build it, and integrate it into the platform alongside our engineering and data science teams. This role exists because agent observability moved from roadmap to revenue faster than anyone predicted, and the work is now on the critical path.

What You’ll Do

• Take an open problem end-to-end — from research and prototyping through production, killing what doesn’t work before it becomes someone’s roadmap

• Design and ship agent-powered features — root-cause analysis, incident triage, monitor generation — and integrate them into the platform with our engineering team

• Build the eval infrastructure that makes those features safe to change: golden datasets, regression suites, offline and online scoring, and the judgment calls about what “good” means

• Own retrieval and context pipelines over customer metadata, lineage, and query history, and instrument agent behavior in production — traces, failure taxonomies, cost and latency budgets — to close the loop on quality

• Partner with data science on detection quality and experiment design, and with PM on what an agent should do versus what it merely can do

• Set the technical bar for how we build with LLMs — patterns, guardrails, and the internal tooling other engineers reuse

What We’re Looking For

• You’ve built agents in production. Not integrated a framework. Not worked on a team that had one. Built them — agents with real autonomy and internal loops, where the model uses tools and decides what to do next without a human in the middle, and you kept them running once real users showed up. RAG with a wrapper doesn’t count. Neither does a set of MCP tools pointed at an API.

• You’ve run evals and monitored agents after launch. Agents are non-deterministic, so normal tests don’t work on them. You’ve owned an eval framework — golden datasets, regression suites, offline and online scoring — not a folder of one-off scripts. And you’ve watched agents in production, not just in dev.

• Python, plus an ML or data science background. Python is your daily language and you’re solid on the backend, though you don’t need to be a distributed systems specialist. You understand models well enough to reason about how they behave — you’re not an application engineer calling someone else’s API.

• You work from a problem, not a spec. Handed an ambiguous problem statement, you design the experiment, build the smallest version to test it, and take what works into production.

• You use AI tools every day. Claude or its equivalents are part of how you write code and do research, not something you tried once. This is backend and model layer work, by the way — no frontend.

• You’d rather ship than polish. Most of this work needs a good answer quickly, not a perfect one eventually. You can tell which problems are the exception and deserve real depth — and you’ll say no to the version that demos well and falls apart in production.

Nice to have: statistics and hypothesis testing, applied rather than theoretical. Building and maintaining MCP servers. Experience in the data and cloud space — Snowflake, Databricks, dbt, Airflow.

This Is Not For You If

• Your AI work is retrieval with a wrapper, or MCP tools pointed at an API — nothing that decides and acts on its own

• Your LLM experience is prototypes, notebooks, and demos that never carried production traffic

• You need a fully specified problem before you start, or you’re uncomfortable with the ambiguity of a category being invented in real time

Why Monte Carlo

• We created the data observability category and we’re doing it again with agent observability — you’ll build where the market is forming, not where it’s settled

• Series D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures

• Customers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre — your work ships to enterprises with real stakes

• Snowflake Partner of the Year and a verified connector in Anthropic’s Claude AI directory

• Remote-first by design since day one, and recognized as a Best Workplace for it

• Competitive compensation, equity, and a remote-first environment.

#LI-REMOTE

#BI-REMOTE

Come As You Are

Equality is a core tenet of Monte Carlo’s culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are proud to be recognized for our world-class employee experience:

Monte Carlo Named 2025 Databricks Data Governance Partner of the Year

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!

Monte Carlo Named to G2’s Best Software Products of 2026

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!

We are super proud to be named the 2026 Best Place to Work by Built In!

Beware of Imposter Recruiters and Job Scams

• All official communication from our recruiting team will come from an @ montecarlodata.com email address.

• We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.

• We will never request payment for equipment, training, or application processing.

• Our open positions are always listed on our official careers page : https://jobs.ashbyhq.com/montecarlodata .

If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at recruiting@montecarlodata.com before sharing any personal information.