Build and ship end-to-end web features across UI, APIs, databases, tests, and deployment by directing AI coding agents. Translate requirements into agent-ready specifications, manage parallel agent sessions, review generated code, enforce security and quality, and require effective automated tests. Deploy and monitor applications on Azure, debug production issues, improve agent context and tooling, and document releases and operational procedures.
This is a remote position.
Location: Remote across India; may transition to onsite in the future
Experience: 2+ years building web applications end to end, with 6+ months shipping production features mainly through AI coding agents
The role. You ship complete features across the CloudLabs core and modules (UI, API, database, tests, deployment) by directing AI coding agents. You turn a product requirement into an agent-ready spec, run the agents, verify what they produce, and own it in production. You don't write implementation code by hand; you are accountable for every line the agents write.
What you'll do
- Break product requirements into small, agent-ready specs with clear acceptance criteria and test cases.
- Drive AI coding agents (Claude Code, Codex, Cursor, Copilot agents) to implement features across (one or more tech stack, not all):
- .NET / ASP.NET Core APIs and SQL Server stored procedures in the core; OR
- Next.js/React front ends, TypeScript APIs and Python services in modules.
- Run several agent sessions in parallel on separate branches or worktrees, and keep them from stepping on each other.
- Review every agent diff before it merges: correctness, edge cases, security (auth checks, tenant isolation, input validation, secrets), performance and readability. Send it back with precise feedback until it is right.
- Make agents prove their work: unit, integration and end-to-end tests (Playwright) that actually fail when the feature is broken.
- Improve the agents' context as you go: update AGENTS.md, skills and templates when an agent repeats a mistake.
- Deploy through CI/CD to QA and production on Azure; watch logs and metrics after release; debug and fix production issues, again by directing agents.
- Write short, clear PR descriptions, release notes and runbooks.
Requirements
Must have
- Solid full-stack fundamentals: HTTP, REST, relational data modelling and SQL, authentication, browser security, async programming, testing.
- Working knowledge of one or both of our tech stacks, enough to read and judge code fluently:
- C# / ASP.NET Core and Angular (TypeScript, RxJS);
- React / Next.js and Node or Python back ends.
- Hands-on, daily experience with at least one agentic coding tool in a real codebase.
- Code review judgement: you can explain why an agent's plausible-looking change is wrong.
- Git, pull requests, CI pipelines (GitHub Actions or Azure DevOps) and debugging with logs.
- Comfortable working from written specs and writing them for others (human or agent).
Nice to have
- Azure experience: App Service, Container Apps, Key Vault, Front Door, Azure AD B2C/Entra.
- PostgreSQL and row-level security; Drizzle or Entity Framework.
- Built with LLM APIs (Azure OpenAI, Anthropic): tool calling, RAG, evaluations.
- Wrote MCP servers, Claude Code skills/hooks/subagents, or similar agent tooling.
- Infrastructure as code (Bicep, Terraform).
- Interest in cloud labs, e-learning or developer education.
Similar Jobs
Information Technology • Software • Consulting
Lead architecture and build scalable, secure production services while championing AI-native development. Mentor engineers, influence technical direction, review PRs, and help evolve a legacy monolith to a modern stack in partnership with product and exec leadership.
Top Skills:
Ai AgentsAmazon SqsAws AuroraAws RdsClaude CodeCursorJavaScriptLlmsMySQLPHPPostgresPythonRubyTypescript
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Leads business and technical requirements analysis, business case development, process improvement, solution design, testing, implementation, and post-deployment optimization for Workday ERP systems. Partners with business leaders, architects, QA, IT, vendors, and project teams to deliver scalable solutions. Facilitates large-group meetings, mentors analysts, assesses system changes, and recommends continuous improvements across Workday modules.
Top Skills:
Enterprise Resource Planning (Erp)System Lifecycle ManagementWorkday Adaptive PlanningWorkday ErpWorkday FinancialsWorkday PsaWorkday Time And Expense
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads enterprise strategy and operational execution across aerospace, defense, AI, hardware, software, and international growth. Responsibilities include strategic planning, portfolio tradeoff analysis, market sizing, competitive analysis, financial modeling, capital allocation, business case development, KPI tracking, performance reviews, root-cause analysis, and cross-functional execution. The role requires influencing senior stakeholders and translating strategic priorities into measurable outcomes.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering


