Senior Software Engineer
Skills
- Full‑stack development across front-end, back-end, and infrastructure
- Cloud‑native development and deployment (AWS/Azure/GCP)
- Containerization (Docker) and orchestration (Kubernetes)
- Data engineering: ETL, pipelines, data modeling and governance
- AI integration: LLMs, RAG, prompt engineering, agent orchestration
- Designing distributed, low-latency systems and real-time data flows
- Security and operational knowledge for classified or regulated environments
- Strong stakeholder communication and cross-functional collaboration
Responsibilities
- Lead design and implementation of scalable backend systems and distributed architectures for Federal customers
- Manage full lifecycle of feature development from requirements to deployment on classified networks
- Orchestrate fleets of asynchronous agents to meet mission requirements
- Lead customer engagements to translate mission needs into technical requirements and acceptance criteria
- Communicate with stakeholders and own acceptance of delivered capabilities
- Conduct technical reviews and identify risks within ML infrastructure and model serving
- Drive platform roadmap by providing technical specifications for Federal product offerings
Education
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- Advanced degree (MS/PhD) in CS, AI, or related discipline preferred
- Ability to obtain required clearances or work on classified networks as needed
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits (401k) and equity-based compensation for eligible roles
- Learning and development stipend
- Generous paid time off
- Commuter stipend (where eligible) and other location-specific benefits
Average salary estimate
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