GovEagle Logo

GovEagle

Software Engineer

Posted 3 Days Ago
Be an Early Applicant
In-Office
New York City, NY, USA
170K-210K Annually
Mid level
In-Office
New York City, NY, USA
170K-210K Annually
Mid level
Build and ship end-to-end product features across Python and React, develop enterprise integrations with SharePoint, Microsoft 365, Salesforce, and SSO, and scale AI pipelines and data systems. Improve reliability through on-call support, observability, alerting, performance optimization, and root-cause fixes. Collaborate directly with customers and the CTO while using AI coding tools, writing design documents, and owning major platform areas from specification through adoption.
The summary above was generated by AI
Why We Need You

Over 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.

We 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.

What You'll Do
  • Ship product end to end. Take features from a customer conversation to production across our Python backend and React frontend, then see them through adoption.

  • Own customer integrations. Build and harden the connections to SharePoint, Microsoft 365, Salesforce, and SSO that enterprise customers run on.

  • Scale the AI platform. Profile and speed up long-running LLM pipelines, background workflows, and the data layer as usage grows.

  • Make production boring. Take your turn on call, improve observability and alerting, and fix root causes so the same incident never happens twice.

  • Build with AI, carefully. Use AI coding tools to ship fast, review teammates' code, and write short design docs before big changes.

What We're Looking For
  • 3+ years building production software that real customers use; startup experience strongly preferred.

  • Strong Python (FastAPI, async) and comfortable across the stack in TypeScript and React.

  • Hands-on with cloud infrastructure: AWS, Kubernetes, Terraform.

  • You have debugged real production problems and can talk concretely about what broke and how you fixed it.

  • AI-native: Claude Code, Cursor, or similar are part of how you build, and you know where not to trust them.

  • Ownership: you see a gap, propose a fix, and ship it. You like talking to customers.

  • U.S. citizen (required): you will work in FedRAMP and AWS GovCloud environments subject to export controls.

  • Able to work in person in New York City four days a week.

Nice to have: AWS GovCloud or FedRAMP; Microsoft Graph and SharePoint APIs; Temporal; LLM or RAG systems in production.

Our Stack

FastAPI 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.

What success looks like in your first 90 days
  • 30 days: Shipped your first customer-facing fix; on the on-call rotation; know how every customer integration works.

  • 60 days: Own one major area end to end (for example SharePoint sync or document ingestion); written your first design doc.

  • 90 days: Shipped a feature customers asked for, from spec to adoption, plus a measurable reliability or performance win.

About GovEagle

GovEagle'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.

How 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.

Why Join Us
  • High ownership: we hire smart people and get out of the way.

  • AI-native: get deep on the frontier of AI agents, in the product and in how we work.

  • Customer love: work directly with customers who are getting real value.

  • Team: we're in person in NYC. Here we are at the holiday party.

Similar Jobs

Yesterday
Easy Apply
Hybrid
New York City, NY, USA
Easy Apply
0-0 Annually
Mid level
0-0 Annually
Mid level
Big Data • Cloud • Software • Database
Build and design MongoDB Atlas features, develop distributed backend systems, contribute to complex technical projects, collaborate with product and design teams, resolve customer issues, improve engineering practices, and mentor teammates. The role focuses on the orchestration platform powering secure, fault-tolerant MongoDB clusters across cloud environments.
Top Skills: AWSAzureC#GoGoogle Cloud PlatformJavaKubernetesMongoDBReactTypescript
Yesterday
Easy Apply
Hybrid
New York City, NY, USA
Easy Apply
106K-209K Annually
Mid level
106K-209K Annually
Mid level
Big Data • Cloud • Software • Database
Build and design MongoDB Atlas features for large-scale, distributed cloud database infrastructure. Develop intelligent workload management and scaling capabilities, contribute to complex technical projects, collaborate with product, design, customers, and support teams, resolve production issues, improve engineering practices, and mentor teammates. The role involves backend development in a compiled language, modern web technologies, cloud platforms, production ownership, and technical leadership.
Top Skills: AWSAzureC#GCPGoJavaKubernetesMongoDBMongodb AtlasReactTypescript
Yesterday
Easy Apply
Hybrid
New York City, NY, USA
Easy Apply
106K-209K Annually
Mid level
106K-209K Annually
Mid level
Big Data • Cloud • Software • Database
Build and operate agent- and developer-facing integrations for MongoDB’s Application Modernization Platform. Design APIs, tool definitions, adapters, authentication flows, validation, observability, and error handling. Develop production-quality code and automated tests, diagnose distributed failures, contribute to SDKs, CLIs, and agent frameworks, and collaborate across product and engineering teams. The role also includes code and design reviews, interviewing, and mentoring.
Top Skills: Api KeysAPIsCommand-Line InterfacesContinuous DeliveryGoJavaModel Context ProtocolMongoDBOauthPythonRelational DatabasesSdksService-To-Service IdentityTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account