ARLIS Full Stack Software Engineer

University of Maryland•College Park, MD

19h•Onsite

About The Position

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is seeking a Senior Full-Stack Engineer to support the Intelligent Human-Machine Systems Division, initially focusing on the Command, Control, Intelligence, Surveillance, and Reconnaissance (C2ISR) Mission Area. The team engages in dynamic projects for government sponsors, concentrating on operationalizing AI to enhance C2ISR use cases. This involves supporting the entire lifecycle of applied AI development, from initial requirements gathering and prototyping to deployment and contributing to emerging standards. Many projects are greenfield, offering significant autonomy in technical decision-making. The role requires the ability to obtain a U.S. security clearance and meet access requirements for classified information, involving a government security clearance investigation.

Requirements

Must be able to obtain a U.S. security clearance
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
Master’s degree or at least 3 years full-time experience as a Faculty Specialist (or similar appointment at another institution), or its equivalent.

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