Software Engineer, Full Stack (Senior, Staff+)

What You’ll Do

• Ship full-stack features end-to-end as a member of a Pod, owning scope from problem definition through production, using technologies like Node.js, React, Golang, MongoDB, ElasticSearch, and AWS.
• Develop APIs and integrate with external services and databases, ensuring data integrity and security.
• Build front-end interfaces with a focus on user experience, responsiveness, and accessibility.
• Design and implement AI-powered features where they enhance end-user experience or improve platform efficiency.
• Contribute to scope and tradeoff decisions alongside your Pod Lead; own what's in scope, escalate what isn't, and communicate progress proactively.
• Optimize application performance through caching, efficient algorithms, and database indexing.
• Write thorough unit and integration tests to ensure quality and reliability.
• Conduct code reviews, provide constructive feedback, and mentor junior engineers to uphold a high quality bar.
• Share production support responsibility on a rotating basis, including on-call and bug triage, distributed equitably across the team.
• Stay current with emerging AI tools, full-stack technologies, and industry trends — and actively propose and champion those that improve team velocity, quality, and development practices.
• Ramp quickly on unfamiliar parts of the codebase aided by AI tooling, consistent code hygiene, and a deep engineering foundation.

Your Qualifications

• 7+ years of progressive software development experience and a Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Comfortable working across frontend and backend.
• Understand how systems work at depth and have experience with cloud platforms like AWS or similar. Data structures, algorithms, concurrency, distributed systems, API design, database internals.
• Hands-on experience with modern AI developer tools, such as GitHub Copilot, Cursor, or Claude Code.

Nice to Have

• Familiarity with integrating AI or ML-powered capabilities into web applications, even at a prototype or feature level.
• Exposure to integrating third-party AI APIs or frameworks (e.g., OpenAI, Anthropic, LangChain, or vector databases like Pinecone).
• Interest in exploring how AI can enhance developer workflows and improve product functionality.