{"id":3995439,"url":"https://alion.io/job/goveagle-software-engineer","title":"Software Engineer","company":{"id":2070,"name":"GovEagle","domain":"goveagle.com","url":"https://alion.io/company/goveagle","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"FastAPI","optional":false},{"name":"FedRAMP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"SharePoint","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon DocumentDB","optional":true},{"name":"Anthropic","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"JavaScript","optional":true},{"name":"Microsoft Office","optional":true},{"name":"Next.js","optional":true},{"name":"OpenAI","optional":true},{"name":"PostgreSQL","optional":true},{"name":"RAG","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-11-09T23:18:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T01:05:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Why We Need You\nOver the past year, GovEagle has built strong product-market fit (5x revenue) and a customer base that uses us every day (10x DAU). Defense primes and top federal integrators run their RFP lifecycle on GovEagle inside FedRAMP and AWS GovCloud environments, working from our web app, Microsoft Word, and SharePoint. Every new enterprise rollout brings more users, more documents, and more integrations, and the platform has to scale with them.\nWe are hiring an engineer to own real parts of that platform end to end: the features customers ask for, the integrations that connect GovEagle to their systems, and the reliability work that keeps it fast. You will work directly with the CTO on a small team that builds with AI every day.\nWhat You'll Do\nShip product end to end. Take features from a customer conversation to production across our Python backend and React frontend, then see them through adoption.\n\nOwn customer integrations. Build and harden the connections to SharePoint, Microsoft 365, Salesforce, and SSO that enterprise customers run on.\n\nScale the AI platform. Profile and speed up long-running LLM pipelines, background workflows, and the data layer as usage grows.\n\nMake production boring. Take your turn on call, improve observability and alerting, and fix root causes so the same incident never happens twice.\n\nBuild with AI, carefully. Use AI coding tools to ship fast, review teammates' code, and write short design docs before big changes.\n\nWhat We're Looking For\n3+ years building production software that real customers use; startup experience strongly preferred.\n\nStrong Python (FastAPI, async) and comfortable across the stack in TypeScript and React.\n\nHands-on with cloud infrastructure: AWS, Kubernetes, Terraform.\n\nYou have debugged real production problems and can talk concretely about what broke and how you fixed it.\n\nAI-native: Claude Code, Cursor, or similar are part of how you build, and you know where not to trust them.\n\nOwnership: you see a gap, propose a fix, and ship it. You like talking to customers.\n\nU.S. citizen (required): you will work in FedRAMP and AWS GovCloud environments subject to export controls.\n\nAble to work in person in New York City four days a week.\n\nNice to have: AWS GovCloud or FedRAMP; Microsoft Graph and SharePoint APIs; Temporal; LLM or RAG systems in production.\nOur Stack\nFastAPI and Python, Temporal, DocumentDB and Postgres, SpiceDB, Redis, Next.js and React with TypeScript, Microsoft Office add-ins, Kubernetes, Terraform and Helm, Grafana, AWS GovCloud, and models from Anthropic, Google, and OpenAI.\nWhat success looks like in your first 90 days\n30 days: Shipped your first customer-facing fix; on the on-call rotation; know how every customer integration works.\n\n60 days: Own one major area end to end (for example SharePoint sync or document ingestion); written your first design doc.\n\n90 days: Shipped a feature customers asked for, from spec to adoption, plus a measurable reliability or performance win.\n\nAbout GovEagle\nGovEagle's AI platform helps government contractors win more work. Our AI agents dramatically reduce RFP response times by helping teams shred requirements, build compliance matrices, deliver exhaustive outlines, and draft compelling narratives. We're well capitalized ($10M from Y Combinator, Strategic Cyber Ventures, Sorenson Capital, and others) and based in NYC. Benefits: medical, dental, and vision insurance; 401(k); generous PTO.\nHow we hire: a founder conversation, a 60-minute technical session in a small repo (bring your AI tools), and a half-day onsite with the team. About two weeks start to finish. Don't meet every qualification? Apply anyway; we value high-agency self-starters who love to learn.\nWhy Join Us\nHigh ownership: we hire smart people and get out of the way.\n\nAI-native: get deep on the frontier of AI agents, in the product and in how we work.\n\nCustomer love: work directly with customers who are getting real value.\n\nTeam: we're in person in NYC. 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