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Develops and deploys machine learning models to improve ticketing platform features and user experiences.
Senior backend engineer owns high-availability identity and authentication systems, leads engineers through complex problems, and sets technical standards across the team.
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Identity Engineering owns the systems responsible for onboarding all consumers and managing their authentication and verification journeys across Affirm’s product surfaces. In this role, you will need to gain a deep understanding of the business, product and engineering context, and utilize that context to own and deliver high-availability and low-latency systems on the critical paths for all of our products
What you’ll do
What we look for
Pay Grade - N
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $255,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and consent to the use of your personal information as described.
Senior backend engineer leads identity systems team to own and deliver high-availability, low-latency distributed systems for consumer authentication and verification at scale.
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Identity Engineering owns the systems responsible for onboarding all consumers and managing their authentication and verification journeys across Affirm’s product surfaces. In this role, you will need to gain a deep understanding of the business, product and engineering context, and utilize that context to own and deliver high-availability and low-latency systems on the critical paths for all of our products
What you’ll do
What we look for
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $153,000 - $213,000 CAD
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and consent to the use of your personal information as described.
Senior Software Engineer designs, develops, and maintains enterprise backend services, APIs, and integrations across multiple business platforms while owning projects end-to-end.
SeekWell is the parent company of 1-800 Contacts, Luna, and The Framery. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, pioneering products and businesses that make consumers cheer. We’re owned by KKR – one of the world’s largest and most successful private equity investment companies. We’ve built an excellent company and changed an industry by putting the customer first, always. The best is yet to come!
As a Senior Software Engineer on SeekWell’s Enterprise Commerce team, you’ll help build, maintain, and evolve the platforms that support multiple storefronts and lines of business across our organization. You’ll work within a diverse technology environment that includes backend services, RESTful APIs, internal web applications, cloud platforms, databases, containerized workloads, and modern deployment pipelines.
Our team collectively supports more than 70 business-critical code repositories spanning customer experiences, internal applications, and enterprise platforms. You’ll have opportunities to independently own projects, contribute to technical decisions, improve existing systems, and help shape the future of our commerce platforms.
This role goes beyond writing code. You’ll collaborate closely with engineers, architects, Product Managers, and business stakeholders to solve meaningful challenges, improve platform capabilities, and deliver solutions that create measurable business value.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#LI-Hybrid
Senior backend engineer builds and maintains large-scale Node.js services, integrates third-party APIs, and uses AI tools daily to streamline development and debugging workflows.
📍 Location: Remote (Work from Anywhere)
🗓️ Date: Short-term contract
🌍 Time Zone: Available for meetings in Central Time, with at least 2–3 hours of daily overlap
⏰ Working Hours: Full-time availability is required until end of contract
Are you a Backend Engineer looking to craft large-scale software using AI-first techniques to drive growth and create experiences that end users love?
😀 At Make, we’re proud to have created award-winning software that’s been used by billions of people, with 25+ featured placements in the App Store and Google Play. Our clients have real end users and real challenges, and they view us as trusted advisors and thought leaders.
If you have a genuine enthusiasm for AI and creating software, and thrive in environments that encourage creativity, self-management, and a strong focus on culture, we want to hear from you! 💯
Join a team of AI-first engineers
Build and maintain backend services using TypeScript and Node.js.
Integrate backend functionality with third-party APIs and external data services
Write clean, readable, and well-tested code.
Use AI tools daily to streamline development, debugging, refactoring, and documentation workflows without compromising quality
Work closely with other engineers in a remote-first environment, proactively communicating progress, blockers, and risks
Identify issues proactively, spotting bugs, performance bottlenecks, or architectural risks early and taking ownership of solutions.
An AI-first mindset
Hands-on experience using Cursor, Claude Code, or Codex
Hands-on experience building at least one large-scale system from scratch
+7 years of backend experience
+2 years of Node experience
Excellent communication skills and comfort working in an asynchronous, remote environment
A proactive, ownership-driven mindset: you see problems, raise them early, and help solve them
Comfort operating in a 100% operational role, managing priorities and complexity independently
Make is an AI-first design and engineering agency based in Texas, with team members worldwide. We’re proud to have created award-winning software that has been featured in TechCrunch, Mashable, US Weekly, CBS News, Texas Monthly, and The Today Show. A multi-disciplinary team of engineers and designers, we are passionate about creating world-class software that people enjoy using. At the end of the day, more than our work life, it’s our life’s work 💙.
We are a team of talented individuals who take ownership of the entire project beyond their own craft. We value proactive communication, autonomy, and initiative. You’ll be joining a team of ‘Managers of One’—people who set their own direction, identify what needs to be done, and dive in without waiting for permission 💯.
We’re not only passionate about our craft but also about our culture. We deeply believe that work is purposeful, and that culture is one of the most important parts of any team. Our culture informs our decisions, sets our standards, and guides our interactions 😀.
Senior backend engineer designs and ships full-stack features for AI model evaluation infrastructure, including data models, APIs, workers, and UI components.
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day.
This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone.
A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide.
We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing’s GDPR notice here.
Develops full-stack web applications using Angular frontend and PHP/Laravel backend technologies for a SaaS product team.
Designs and builds scalable backend APIs and frontend user interfaces for eKYC (electronic Know Your Customer) systems.
Senior fullstack engineer builds Web3 infrastructure, smart wallets, and dApps using Go, TypeScript, React, and smart contracts for a blockchain gaming ecosystem.
Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com.
We are hiring a Software Engineer, Web3 for XsollaZK, Xsolla’s Web3 ecosystem on a zkSync-based L2. It includes:
smart wallets built on account abstraction;
SDKs that game studios and partners use to bring players on-chain;
infrastructure backend services for tokenizing in-game items and currencies;
ecosystem dApps: a DEX, an NFT marketplace and an auction.
This is a senior fullstack role: you work across backend, frontend and smart contracts.
Features end to end: backend, frontend and production
The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing
Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets
Production operation of your services, as part of the team’s on-call rotation
Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs
Build infrastructure backend services for tokenizing in-game items and currencies
Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI
Integrate smart wallets into products: accounts, paymasters, bundlers
Develop SDKs used by game studios and partners
Monitor services and contracts in production and take part in on-call
Review code
Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively
Experience
5+ years of commercial software development, with senior-level production experience across backend and frontend
dApps that you shipped to production and maintained
Web3 libraries and wallets
viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state
How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching
Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271)
Backend
Go and TypeScript (Node.js) for production services
Processing on-chain events: idempotency, reorg handling, retries
Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing
Relational databases (PostgreSQL) and caching (Redis)
Designing REST and gRPC APIs: versioning, backward compatibility
Frontend
React and TypeScript: rendering model, state management, performance
Web security fundamentals: XSS, CSRF, CSP, safe handling of signatures and keys in the browser
Smart contracts
Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes
Common contract vulnerability classes (reentrancy, front-running / MEV, oracle manipulation, signature replay) and how they affect the off-chain side
Operations
Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services
Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production
Engineering practices
Testing: unit, integration, E2E
Git, CI/CD (GitLab CI or similar)
AI-assisted engineering
English
zkSync / ZK Stack and the specifics of the zk-rollup stack
Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely
Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792
DeFi: DEX and AMM mechanics
NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics
L2 infrastructure: running nodes, indexers, bridges
Designing SDKs for external developers
Gaming domain experience
Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard.
AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work.
Intro call. Your background, your motivation and the role.
Technical interview. Built directly on the What you will own and Required sections above. We won’t ask about anything this posting doesn’t promise.
Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar.
You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps.
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Location: Remote (worldwide)
Employment Type: Full-time
Schedule: 10:00–19:00 (flexible)
Contract: Employment agreement (entity or EOR arranged per candidate location)
Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.
We are committed to compliance with all fair employment practices regarding citizenship and immigration status.
If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.
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.
Senior fullstack engineer builds Web3 infrastructure, dApps, and SDKs across backend (Go/TypeScript), frontend (React), and smart contracts for a game commerce platform.
Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com.
We are hiring a Software Engineer, Web3 for XsollaZK, Xsolla’s Web3 ecosystem on a zkSync-based L2. It includes:
smart wallets built on account abstraction;
SDKs that game studios and partners use to bring players on-chain;
infrastructure backend services for tokenizing in-game items and currencies;
ecosystem dApps: a DEX, an NFT marketplace and an auction.
This is a senior fullstack role: you work across backend, frontend and smart contracts.
Features end to end: backend, frontend and production
The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing
Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets
Production operation of your services, as part of the team’s on-call rotation
Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs
Build infrastructure backend services for tokenizing in-game items and currencies
Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI
Integrate smart wallets into products: accounts, paymasters, bundlers
Develop SDKs used by game studios and partners
Monitor services and contracts in production and take part in on-call
Review code
Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively
Experience
5+ years of commercial software development, with senior-level production experience across backend and frontend
dApps that you shipped to production and maintained
Web3 libraries and wallets
viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state
How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching
Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271)
Backend
Go and TypeScript (Node.js) for production services
Processing on-chain events: idempotency, reorg handling, retries
Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing
Relational databases (PostgreSQL) and caching (Redis)
Designing REST and gRPC APIs: versioning, backward compatibility
Frontend
React and TypeScript: rendering model, state management, performance
Web security fundamentals: XSS, CSRF, CSP, safe handling of signatures and keys in the browser
Smart contracts
Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes
Common contract vulnerability classes (reentrancy, front-running / MEV, oracle manipulation, signature replay) and how they affect the off-chain side
Operations
Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services
Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production
Engineering practices
Testing: unit, integration, E2E
Git, CI/CD (GitLab CI or similar)
AI-assisted engineering
English
zkSync / ZK Stack and the specifics of the zk-rollup stack
Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely
Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792
DeFi: DEX and AMM mechanics
NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics
L2 infrastructure: running nodes, indexers, bridges
Designing SDKs for external developers
Gaming domain experience
Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard.
AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work.
Intro call. Your background, your motivation and the role.
Technical interview. Built directly on the What you will own and Required sections above. We won’t ask about anything this posting doesn’t promise.
Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar.
You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps.
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Location: Remote (worldwide)
Employment Type: Full-time
Schedule: 10:00–19:00 (flexible)
Contract: Employment agreement (entity or EOR arranged per candidate location)
Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.
We are committed to compliance with all fair employment practices regarding citizenship and immigration status.
If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.
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.
Designs, automates, secures, and sustains enterprise Azure infrastructure, governance, networking, identity, monitoring, and cloud platforms.
TrueTandem is seeking a highly skilled and motivated Senior Azure Infrastructure Cloud Engineer to support the delivery of enterprise-scale cloud infrastructure and platform services for a member of the Intelligence Community (IC). This role is ideal for a seasoned cloud professional with expertise in Azure infrastructure, automation, security, governance, and Infrastructure as Code (IaC) who thrives in mission-driven environments.
The successful candidate will join a team responsible for designing, deploying, securing, and sustaining cloud platforms that support critical mission and business applications. Solutions are engineered in accordance with approved reference architectures, federal security requirements, organizational policies, and cloud engineering best practices.
The environment leverages Azure-native services, Microsoft 365, Power Platform, Terraform, Bicep, and Azure DevOps to deliver secure, scalable, and repeatable cloud capabilities. The team emphasizes automation, policy-driven governance, continuous compliance validation, operational excellence, and efficient platform management to accelerate cloud adoption while maintaining security and regulatory requirements.
As a Senior Azure Infrastructure Cloud Engineer, you will help build and maintain the core Azure infrastructure foundation that enables mission and business workloads across the enterprise. Working within a cross-functional team of architects, engineers, developers, and cybersecurity professionals, you will design, implement, and support Azure governance frameworks, subscriptions, management groups, virtual networking, storage services, Key Vault, monitoring solutions, security controls, identity integration, workload migrations, and operational sustainment activities.
The ideal candidate possesses hands-on experience supporting complex federal cloud environments and demonstrates the ability to troubleshoot and resolve challenging infrastructure issues while balancing security, performance, reliability, and scalability requirements. Success in this role requires a strong commitment to automation, continuous improvement, and delivering secure, resilient cloud solutions that support evolving mission needs.
This position offers the opportunity to contribute to some of the most critical cloud modernization initiatives within the federal government while working with leading technologies and a highly collaborative engineering team.
$180,000 - $225,000 a year
The above salary range represents a general guideline; however, TrueTandem considers several factors when determining base salary offers such as the scope and responsibilities of the position and the candidate’s experience, education, skills and current market conditions.
In addition, TrueTandem provides a variety of benefits including health insurance coverage, dental and vision plans, life and disability insurance, company paid holidays and paid time off (PTO). Our retirement plan offers a variety of investment options to build toward your retirement.
TrueTandem is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.
U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
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.
Designs and builds secure, scalable Snowflake Cortex AI applications, data foundations, integrations, and full-stack systems for consulting clients.
About Nimble Gravity:
We’re a data, AI and digital engineering consultancy. Certified across Microsoft, Anthropic, and Databricks, we turn AI ambition into working systems for leaders who need results, not roadmaps.
You’ll design and deliver AI applications that run directly on our clients’ Snowflake data, using Snowflake Cortex.We’re looking for an AI and data architect who knows that a good model is only as useful as the data and governance behind it. You’ll design, build, and optimize Cortex-powered applications, from first architecture sketch to production. You’ll work with clients and engineers to turn abstract ideas into systems people use.
Key Responsibilities
Architect and build: Design and implement AI applications on Snowflake using Cortex AI functions, Cortex Analyst, Cortex Search, Cortex Agents, and Snowflake Intelligence.
Build the data foundation: Shape the pipelines, semantic models, and unstructured data processing (including Document AI) that make AI answers trustworthy.
Develop full-stack: Build with Python, SQL, Snowpark, and Streamlit, and integrate with external APIs, applications, and LLM providers where the use case calls for it.
Design for scale and security: Apply role-based access control, data masking, and governance so applications are secure, resilient, and compliant from day one.
Manage cost and performance: Tune warehouses, models, and queries, and make consumption-based costs predictable for clients.
Lead client conversations: Run architecture sessions, demos, and workshops. Help clients choose the right approach and understand the trade-offs.
Collaborate: Work closely with data engineers, data scientists, and app developers to deliver end-to-end outcomes.
Keep learning: Track Snowflake’s fast-moving AI roadmap and turn new capabilities into reusable patterns for the team.
What We’re Looking For
Required
Proven experience as a data or AI architect or senior engineer, including hands-on work on Snowflake.
Strong SQL and Python skills, with experience in Snowpark.
Working knowledge of Snowflake Cortex capabilities, or comparable hands-on experience with LLM-based applications and a clear plan to ramp quickly.
Familiarity with RAG, semantic search, text-to-SQL, and agentic patterns.
Solid grasp of data modeling, ELT/ETL, and orchestration (dbt, Airflow, or similar).
Strong understanding of Snowflake security and governance: RBAC, masking, row access policies, and data sharing.
Experience with CI/CD, APIs, and cloud fundamentals on Azure, AWS, or GCP.
Preferred
SnowPro Core or Advanced certification.
Experience with Streamlit, Snowflake Native Apps, or Cortex Fine-tuning.
Background in data science, machine learning, or formal engineering training.
Experience integrating Snowflake with other AI platforms, including Claude.
Consulting or client-facing delivery experience.
Core Qualities
Problem-solving excellence: You approach hard technical challenges with creativity and rigor.
Ownership and accountability: You take responsibility for design, delivery, and success.
Adaptability: You’re comfortable learning and shipping new technology in a fast-moving field.
Collaboration: You communicate clearly and work well in a team.
Interview process
Interview with Recruiter (30 min)
1st Technical Interview (45 min)
2nd Technical Interview (45 min)
Final Interview with VP, AI Applied Solutions
Case Studies
Nimble Gravity Applied Anthropic Practice
About Nimble Gravity
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.
Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
Builds, tunes, and debugs distributed GPU training platforms and large-scale PyTorch model training workloads.
About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
Meet Egen
Life at Egen
Culture and Values at Egen
Career Development at Egen
Benefits at Egen
We’re looking for an engineer who is equally at home running a GPU training platform and the large-scale model training that runs on it. You’ll be embedded with a healthcare and life-sciences AI client that trains foundation models on a large GKE-based H200 and GB200 cluster. The client is reorganizing so that its foundation-model platform and its agent platform teams work more closely together.
The role centres on the training stack and the scientists who use it. Solid infrastructure knowledge and experience are required, but the client already has strong SRE and infrastructure capacity, so running the cluster isn’t the focus: you’ll partner with that team and understand the training workloads well enough to tune, benchmark, and debug them end to end. You’ll work alongside other Egen engineers and client scientists, and you’ll own your area outright.
Ownership on the client team
Core Languages: Mastery of Python and shell scripting
AI/LLM Ecosystem: Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning
Data & Search: Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search
Infrastructure: Hands-on experience with Google Cloud (Vertex AI) and building scalable software architectures
Frameworks: Proficiency in LangChain, LlamaIndex, or similar orchestration layers
Mindset: A strong software engineering foundation—you write clean, maintainable code and understand the full SDLC
5+ years of engineering experience, with recent hands-on work on GPU training infrastructure and large-scale training.
Strong Python software engineering: production-quality code, tests and code review. Coding is central to this role, not an afterthought.
GKE and GPU scheduling: Kubernetes on Google Cloud with GPU node pools, job queueing (Kueue or similar), and capacity and quota management.
Distributed PyTorch and Ray Train: has personally run and debugged multi-node training jobs.
RDMA and GPU networking: GPUDirect/RDMA, NCCL tuning, multi-node GB200 (or H200) topology.
Benchmarking and evals: has designed performance benchmarks and model evaluations, and used them to make decisions.
Deep enough understanding to explain how and why a system works, without leaning on AI coding tools to carry the reasoning.
A track record of visible ownership: present, communicative, and accountable on a demanding team.
Healthcare or life-sciences data (genomics, clinical, biomedical), and working under HIPAA.
Observability and telemetry for training platforms: metrics, tracing, alerting, end-to-end pipeline testing.
$159,300 - $219,245 a year
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate’s experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.
Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Check out our complete list of benefits here - >https://egen.ai/people/#benefits
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
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.
Build and operate full-stack Web3 products, including Go and TypeScript services, React dApps, smart contracts, SDKs, and AI repository tooling.
Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com.
We are hiring a Software Engineer, Web3 for XsollaZK, Xsolla’s Web3 ecosystem on a zkSync-based L2. It includes:
smart wallets built on account abstraction;
SDKs that game studios and partners use to bring players on-chain;
infrastructure backend services for tokenizing in-game items and currencies;
ecosystem dApps: a DEX, an NFT marketplace and an auction.
This is a senior fullstack role: you work across backend, frontend and smart contracts.
Features end to end: backend, frontend and production
The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing
Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets
Production operation of your services, as part of the team’s on-call rotation
Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs
Build infrastructure backend services for tokenizing in-game items and currencies
Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI
Integrate smart wallets into products: accounts, paymasters, bundlers
Develop SDKs used by game studios and partners
Monitor services and contracts in production and take part in on-call
Review code
Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively
Experience
5+ years of commercial software development, with senior-level production experience across backend and frontend
dApps that you shipped to production and maintained
Web3 libraries and wallets
viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state
How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching
Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271)
Backend
Go and TypeScript (Node.js) for production services
Processing on-chain events: idempotency, reorg handling, retries
Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing
Relational databases (PostgreSQL) and caching (Redis)
Designing REST and gRPC APIs: versioning, backward compatibility
Frontend
React and TypeScript: rendering model, state management, performance
Web security fundamentals: XSS, CSRF, CSP, safe handling of signatures and keys in the browser
Smart contracts
Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes
Common contract vulnerability classes (reentrancy, front-running / MEV, oracle manipulation, signature replay) and how they affect the off-chain side
Operations
Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services
Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production
Engineering practices
Testing: unit, integration, E2E
Git, CI/CD (GitLab CI or similar)
AI-assisted engineering
English
zkSync / ZK Stack and the specifics of the zk-rollup stack
Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely
Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792
DeFi: DEX and AMM mechanics
NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics
L2 infrastructure: running nodes, indexers, bridges
Designing SDKs for external developers
Gaming domain experience
Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard.
AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work.
Intro call. Your background, your motivation and the role.
Technical interview. Built directly on the What you will own and Required sections above. We won’t ask about anything this posting doesn’t promise.
Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar.
You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps.
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Location: Remote (worldwide)
Employment Type: Full-time
Schedule: 10:00–19:00 (flexible)
Contract: Employment agreement (entity or EOR arranged per candidate location)
Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.
We are committed to compliance with all fair employment practices regarding citizenship and immigration status.
If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.
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.
Build and operate full-stack Web3 systems, including Go and TypeScript services, React dApps, smart contracts, SDKs, and AI development tooling.
Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com.
We are hiring a Software Engineer, Web3 for XsollaZK, Xsolla’s Web3 ecosystem on a zkSync-based L2. It includes:
smart wallets built on account abstraction;
SDKs that game studios and partners use to bring players on-chain;
infrastructure backend services for tokenizing in-game items and currencies;
ecosystem dApps: a DEX, an NFT marketplace and an auction.
This is a senior fullstack role: you work across backend, frontend and smart contracts.
Features end to end: backend, frontend and production
The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing
Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets
Production operation of your services, as part of the team’s on-call rotation
Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs
Build infrastructure backend services for tokenizing in-game items and currencies
Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI
Integrate smart wallets into products: accounts, paymasters, bundlers
Develop SDKs used by game studios and partners
Monitor services and contracts in production and take part in on-call
Review code
Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively
Experience
5+ years of commercial software development, with senior-level production experience across backend and frontend
dApps that you shipped to production and maintained
Web3 libraries and wallets
viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state
How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching
Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271)
Backend
Go and TypeScript (Node.js) for production services
Processing on-chain events: idempotency, reorg handling, retries
Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing
Relational databases (PostgreSQL) and caching (Redis)
Designing REST and gRPC APIs: versioning, backward compatibility
Frontend
React and TypeScript: rendering model, state management, performance
Web security fundamentals: XSS, CSRF, CSP, safe handling of signatures and keys in the browser
Smart contracts
Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes
Common contract vulnerability classes (reentrancy, front-running / MEV, oracle manipulation, signature replay) and how they affect the off-chain side
Operations
Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services
Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production
Engineering practices
Testing: unit, integration, E2E
Git, CI/CD (GitLab CI or similar)
AI-assisted engineering
English
zkSync / ZK Stack and the specifics of the zk-rollup stack
Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely
Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792
DeFi: DEX and AMM mechanics
NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics
L2 infrastructure: running nodes, indexers, bridges
Designing SDKs for external developers
Gaming domain experience
Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard.
AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work.
Intro call. Your background, your motivation and the role.
Technical interview. Built directly on the What you will own and Required sections above. We won’t ask about anything this posting doesn’t promise.
Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar.
You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps.
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Location: Remote (worldwide)
Employment Type: Full-time
Schedule: 10:00–19:00 (flexible)
Contract: Employment agreement (entity or EOR arranged per candidate location)
Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.
We are committed to compliance with all fair employment practices regarding citizenship and immigration status.
If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.
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.
Build and operate full-stack Web3 systems, including Go and TypeScript services, React dApps, smart contracts, SDKs, and AI repository tooling.
Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com.
We are hiring a Software Engineer, Web3 for XsollaZK, Xsolla’s Web3 ecosystem on a zkSync-based L2. It includes:
smart wallets built on account abstraction;
SDKs that game studios and partners use to bring players on-chain;
infrastructure backend services for tokenizing in-game items and currencies;
ecosystem dApps: a DEX, an NFT marketplace and an auction.
This is a senior fullstack role: you work across backend, frontend and smart contracts.
Features end to end: backend, frontend and production
The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing
Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets
Production operation of your services, as part of the team’s on-call rotation
Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs
Build infrastructure backend services for tokenizing in-game items and currencies
Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI
Integrate smart wallets into products: accounts, paymasters, bundlers
Develop SDKs used by game studios and partners
Monitor services and contracts in production and take part in on-call
Review code
Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively
Experience
5+ years of commercial software development, with senior-level production experience across backend and frontend
dApps that you shipped to production and maintained
Web3 libraries and wallets
viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state
How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching
Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271)
Backend
Go and TypeScript (Node.js) for production services
Processing on-chain events: idempotency, reorg handling, retries
Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing
Relational databases (PostgreSQL) and caching (Redis)
Designing REST and gRPC APIs: versioning, backward compatibility
Frontend
React and TypeScript: rendering model, state management, performance
Web security fundamentals: XSS, CSRF, CSP, safe handling of signatures and keys in the browser
Smart contracts
Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes
Common contract vulnerability classes (reentrancy, front-running / MEV, oracle manipulation, signature replay) and how they affect the off-chain side
Operations
Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services
Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production
Engineering practices
Testing: unit, integration, E2E
Git, CI/CD (GitLab CI or similar)
AI-assisted engineering
English
zkSync / ZK Stack and the specifics of the zk-rollup stack
Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely
Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792
DeFi: DEX and AMM mechanics
NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics
L2 infrastructure: running nodes, indexers, bridges
Designing SDKs for external developers
Gaming domain experience
Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard.
AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work.
Intro call. Your background, your motivation and the role.
Technical interview. Built directly on the What you will own and Required sections above. We won’t ask about anything this posting doesn’t promise.
Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar.
You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps.
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Location: Remote (worldwide)
Employment Type: Full-time
Schedule: 10:00–19:00 (flexible)
Contract: Employment agreement (entity or EOR arranged per candidate location)
Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.
We are committed to compliance with all fair employment practices regarding citizenship and immigration status.
If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.
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.
Build and operate full-stack Web3 products, including Go and TypeScript services, React dApps, smart contracts, SDKs, and AI development tooling.
Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com.
We are hiring a Software Engineer, Web3 for XsollaZK, Xsolla’s Web3 ecosystem on a zkSync-based L2. It includes:
smart wallets built on account abstraction;
SDKs that game studios and partners use to bring players on-chain;
infrastructure backend services for tokenizing in-game items and currencies;
ecosystem dApps: a DEX, an NFT marketplace and an auction.
This is a senior fullstack role: you work across backend, frontend and smart contracts.
Features end to end: backend, frontend and production
The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing
Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets
Production operation of your services, as part of the team’s on-call rotation
Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs
Build infrastructure backend services for tokenizing in-game items and currencies
Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI
Integrate smart wallets into products: accounts, paymasters, bundlers
Develop SDKs used by game studios and partners
Monitor services and contracts in production and take part in on-call
Review code
Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively
Experience
5+ years of commercial software development, with senior-level production experience across backend and frontend
dApps that you shipped to production and maintained
Web3 libraries and wallets
viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state
How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching
Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271)
Backend
Go and TypeScript (Node.js) for production services
Processing on-chain events: idempotency, reorg handling, retries
Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing
Relational databases (PostgreSQL) and caching (Redis)
Designing REST and gRPC APIs: versioning, backward compatibility
Frontend
React and TypeScript: rendering model, state management, performance
Web security fundamentals: XSS, CSRF, CSP, safe handling of signatures and keys in the browser
Smart contracts
Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes
Common contract vulnerability classes (reentrancy, front-running / MEV, oracle manipulation, signature replay) and how they affect the off-chain side
Operations
Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services
Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production
Engineering practices
Testing: unit, integration, E2E
Git, CI/CD (GitLab CI or similar)
AI-assisted engineering
English
zkSync / ZK Stack and the specifics of the zk-rollup stack
Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely
Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792
DeFi: DEX and AMM mechanics
NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics
L2 infrastructure: running nodes, indexers, bridges
Designing SDKs for external developers
Gaming domain experience
Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard.
AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work.
Intro call. Your background, your motivation and the role.
Technical interview. Built directly on the What you will own and Required sections above. We won’t ask about anything this posting doesn’t promise.
Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar.
You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps.
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Location: Remote (worldwide)
Employment Type: Full-time
Schedule: 10:00–19:00 (flexible)
Contract: Employment agreement (entity or EOR arranged per candidate location)
Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.
We are committed to compliance with all fair employment practices regarding citizenship and immigration status.
If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.
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.
Integrates autonomous vehicle software and hardware systems, defining requirements, coordinating engineering teams, and leading validation activities.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
The Senior Systems Engineer serves as the integrating function across the multi-disciplinary teams developing the Next Gen Autonomous Driving Kit, ensuring software, hardware, and product targets remain aligned throughout the development lifecycle. This role is responsible for producing polished requirements and specifications and for optimizing and negotiating trade-offs across the entire development process, Including with OEM partners. Complementing the unit-level testing already performed within the team, the Senior Systems Engineer owns systems integration and validation activities necessary to ensure program objectives are met as designed. This role also works to streamline the interfaces between system architects, controls, and OEM platform partners.
Essential Responsibilities
Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts
Act as the binding agent across multi-disciplinary teams, ensuring software, hardware, and product requirements and targets remain aligned across the ADK 6.0 program
Own systems integration and validation activities to ensure the platform performs as designed, complementing unit-level testing performed within the team
Define and develop metrics to verify that the system and its subsystems satisfy feature and system requirements
Create and maintain requirement specifications by:
Develop and maintain requirements and specifications to a level of polish suitable for OEM partner collaboration
Identify, negotiate, and resolve cross-functional trade-offs and conflicts across the entire development process, gaining buy-in from impacted teams
Streamline interfaces between system architects, controls, and OEM platform partners
Evaluate industry and regulatory requirements for applicability to May Mobility products
Performing FMEA analysis, tracking findings to resolution
Identify gaps in processes and propose solutions for resolution
Follow safe work procedures; Use of appropriate personal protective equipment (PPE); Use of workplace tools and equipment as instructed; Report workplace hazards, injuries and illness as soon as possible.
Skills and Abilities
Success in this role typically requires the following competencies:
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
Desirable
Physical Requirements
Standard office working conditions which includes but is not limited to:
Travel required? - Moderate: 5%-15%
Benefits and Perks
Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$135,000—$155,000 USD
May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click here
Designs and builds secure Snowflake Cortex AI applications, data pipelines, integrations, and full-stack systems for consulting clients.
About Nimble Gravity:
We’re a data, AI and digital engineering consultancy. Certified across Microsoft, Anthropic, and Databricks, we turn AI ambition into working systems for leaders who need results, not roadmaps.
You’ll design and deliver AI applications that run directly on our clients’ Snowflake data, using Snowflake Cortex.We’re looking for an AI and data architect who knows that a good model is only as useful as the data and governance behind it. You’ll design, build, and optimize Cortex-powered applications, from first architecture sketch to production. You’ll work with clients and engineers to turn abstract ideas into systems people use.
Key Responsibilities
Architect and build: Design and implement AI applications on Snowflake using Cortex AI functions, Cortex Analyst, Cortex Search, Cortex Agents, and Snowflake Intelligence.
Build the data foundation: Shape the pipelines, semantic models, and unstructured data processing (including Document AI) that make AI answers trustworthy.
Develop full-stack: Build with Python, SQL, Snowpark, and Streamlit, and integrate with external APIs, applications, and LLM providers where the use case calls for it.
Design for scale and security: Apply role-based access control, data masking, and governance so applications are secure, resilient, and compliant from day one.
Manage cost and performance: Tune warehouses, models, and queries, and make consumption-based costs predictable for clients.
Lead client conversations: Run architecture sessions, demos, and workshops. Help clients choose the right approach and understand the trade-offs.
Collaborate: Work closely with data engineers, data scientists, and app developers to deliver end-to-end outcomes.
Keep learning: Track Snowflake’s fast-moving AI roadmap and turn new capabilities into reusable patterns for the team.
What We’re Looking For
Required
Proven experience as a data or AI architect or senior engineer, including hands-on work on Snowflake.
Strong SQL and Python skills, with experience in Snowpark.
Working knowledge of Snowflake Cortex capabilities, or comparable hands-on experience with LLM-based applications and a clear plan to ramp quickly.
Familiarity with RAG, semantic search, text-to-SQL, and agentic patterns.
Solid grasp of data modeling, ELT/ETL, and orchestration (dbt, Airflow, or similar).
Strong understanding of Snowflake security and governance: RBAC, masking, row access policies, and data sharing.
Experience with CI/CD, APIs, and cloud fundamentals on Azure, AWS, or GCP.
Preferred
SnowPro Core or Advanced certification.
Experience with Streamlit, Snowflake Native Apps, or Cortex Fine-tuning.
Background in data science, machine learning, or formal engineering training.
Experience integrating Snowflake with other AI platforms, including Claude.
Consulting or client-facing delivery experience.
Core Qualities
Problem-solving excellence: You approach hard technical challenges with creativity and rigor.
Ownership and accountability: You take responsibility for design, delivery, and success.
Adaptability: You’re comfortable learning and shipping new technology in a fast-moving field.
Collaboration: You communicate clearly and work well in a team.
Interview process
Interview with Recruiter (30 min)
1st Technical Interview (45 min)
2nd Technical Interview (45 min)
Final Interview with VP, AI Applied Solutions
Case Studies
Nimble Gravity Applied Anthropic Practice
About Nimble Gravity
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.
Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
Builds and leads full-stack and backend engineering efforts for Hims & Hers’ digital healthcare platform.
