ARLIS Full Stack Software Engineer

UM01 University of Maryland College Park (UMCP); United States; On-site; USD 140,000 - 195,000; Full time

Job summary

The UM01 University of Maryland College Park (UMCP) seeks a Senior Full-Stack Engineer for the Intelligent Human-Machine Systems Division. This role focuses on operationalizing AI within Command, Control, Intelligence, Surveillance, and Reconnaissance (C2ISR) projects. Candidates should have extensive experience building full-stack applications, proficiency in TypeScript and modern frameworks, and an understanding of backend development with Python.

The position offers a salary range of $140,000 – $195,000 and requires the ability to obtain a U.S. security clearance.

Qualifications

• 4–5+ years building, deploying, and maintaining full‑stack applications in production.
• Strong proficiency in modern web frameworks such as React, Next.js, Remix, or Angular.
• Experience with databases and designing data models.

Responsibilities

• Own features end‑to‑end across the stack.
• Contribute actively to technical direction and design decisions.
• Mentor junior engineers on the team.

Skills

TypeScript

React

Python

SQL

Docker

AWS

Kubernetes

Job description

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University‑Affiliated Research Center dedicated to advancing research, innovation, and technology transition to improve decision‑making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence/machine learning, quantum science, and human‑machine teaming. Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development.

Role Overview

This position 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 focused on operationalising AI to augment and advance C2ISR use cases, supporting the full lifecycle of applied AI development – from requirements gathering and prototyping to deployment and informing emerging standards.

Key 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

Minimum Qualifications

• 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.

Preferred Qualifications

• 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)

Licenses / Certifications

• AWS certifications (Solutions Architect, Developer) – preferred but not required
• Kubernetes certifications (CKA, CKAD) – a plus

Physical Demands

Sedentary work performed in a normal office environment; occasional lifting of up to 10 pounds or negligible force frequently or constantly to move objects. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen.

Salary Range

$140,000 – $195,000

Equal Opportunity Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment.