You will play a key role in developing and implementing our AI-enabled product while collaborating closely with stakeholders to translate complex requirements into intuitive, high-impact solutions.
- Experienced leading small engineering teams while remaining a primary implementor, spending the large majority of your time hands-on
- Skilled in full-stack development — language secondary, though you'll ship quickly in TypeScript, Python, and React
- Fluent with AI-native IDEs and comfortable using them as your default way of working
- Strong in version control habits
- Comfortable working in hybrid (on-prem/cloud) and air-gapped deployment environments
- Practical experience with containers
- Familiar with production cross-cutting concerns: identity/SSO, RBAC, audit logging, encryption, and observability
- Experienced guiding engineers through code review, conventions, and pairing
- Capable of gathering requirements and communicating status to stakeholders
- Lead development of a customer-specific implementation within the platform's architecture baseline
- Remain a primary implementor while directing a small team (2–6 engineers)
- Make account-specific technical trade-off decisions, coordinating with technical leadership on platform-level questions
- Gather requirements, prioritize delivery work, and communicate status to customer-facing stakeholders and internal leadership
- Guide engineers through review, conventions, and pairing
- Own releases end-to-end, including delivery into hybrid and air-gapped environments
- Active TS/SCI with Polygraph clearance; U.S. citizenship
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or similar (4 years of experience may substitute)
- 10+ years of experience in the design, development, and deployment of software systems
- Fluency with AI-native IDEs
- Strong version control habits
- Understanding of hybrid deployment (on-prem and cloud), including air-gapped deployment
- Practical experience with containers
- Skilled in at least two mainstream programming languages — language is secondary; expect to ship quickly in TypeScript, Python, and React, using tech like Postgres, RAG, and vector stores
- Familiarity with production cross-cutting concerns: identity/SSO/OAuth/OIDC, MFA, RBAC, session management, audit logging, encryption, object + relational storage, APIs, CI/CD, and observability