Full Stack Software Engineer-1
About The Position
Organization's Summary Statement: This role is for the Intelligent Human-Machine Systems Division of the Applied Research Lab for Intelligence and Security, initially supporting Command, Control, Intelligence, Surveillance, and Reconnaissance (C2ISR) Mission Area as a Senior Full-Stack Engineer. The team works on dynamic projects for government sponsors focused on operationalizing AI to augment and advance C2ISR use cases. We support the full lifecycle of applied AI development — from requirements gathering and prototyping to deployment and informing emerging standards. Most projects are greenfield with significant freedom in making technical decisions.
Requirements
- 4–5+ years building, deploying, and maintaining full-stack applications in production
- Strong proficiency in TypeScript and modern web frameworks (React, Next.js, Remix, or Angular)
- Backend development experience with Python (Flask/FastAPI or similar)
- Solid understanding of frontend development (modern CSS, responsive design, component-driven UI)
- Experience with databases (SQL or NoSQL) and designing data models
- Experience with Docker
- Familiarity with cloud infrastructure (AWS preferred, GCP/Azure acceptable)
- Ability to operate independently, make pragmatic technical decisions, and deliver under deadlines
- Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history.
Nice To Haves
- Familiarity with TailwindCSS or other CSS-in-JS frameworks
- Experience with Kubernetes for container orchestration
- Knowledge of AWS services (S3, EC2, RDS, Bedrock) and hands-on integration experience
- Experience implementing full-stack observability (especially OpenTelemetry)
- Background in AI engineering or working with V/LLMs
- Strong debugging, profiling, and performance optimization skills
- Contributions to developer experience, internal tooling, or automation (CI/CD, testing)
- AWS certifications (Solutions Architect, Developer) preferred but not required
- Kubernetes certifications (CKA, CKAD) a plus
Responsibilities
- Operate with a high degree of independence and own features end-to-end across the stack
- Contribute actively to technical direction and design decisions on projects
- Participate in code reviews, uphold best practices, and ensure technical quality
- Mentor junior engineers on the team (without direct management responsibilities)
- Collaborate with researchers, engineers, and mission leads to shape impactful solutions
Benefits
- For more information on Regular Faculty benefits, select this link.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
