Tallo logoTallo logo

ARLIS Full Stack Software Engineer

Job

UM01 University of Maryland College Park (UMCP)

Auburn, AL (In Person)

$167,500 Salary, Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/13/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
85
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Job Description Summary Organization's Summary Statement:
The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) 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. Employees at ARLIS work on projects of critical importance, contribute directly to the nation's security, and are supported by a culture that values integrity, collaboration, and professional growth. 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.
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 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.
Physical Demands:
Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen.
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
Preferences:
  • 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 Minimum Qualifications In addition to showing superior ability to administer academic or research programs, as evidenced by successfully discharging responsibilities such as those of the Faculty Specialist, the appointee shall hold a Master's degree or have at least 3 years full-time experience as a Faculty Specialist (or similar appointment at another institution), or its equivalent.
Appointments to this rank are typically one to five years and are renewable.
Additional Job Details Required Application Materials:
Cover Letter, Resume, References Best Consideration Date:
N/A Posting Close Date:
N/A Open Until Filled:
Yes Department VPR-Applied Research Lab for Intelligence & Security Worker Sub-Type Faculty Regular Salary Range $140,000 - $195,000 Background Checks Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed. Employment Eligibility The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment. EEO Statement The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy. Title IX Non-Discrimination Notice Resources Learn how military skills translate to civilian opportunities with O
  • Net Online Search Firm Managed Recruitment There are some positions that are not advertised on this career site as the search is being managed by a Search Firm.
Please visit the link below to see these available opportunities: Search Firm Managed Vacancies The University of Maryland, College Park is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and staff, and 388,000 alumni all dedicated to the pursuit of Fearless Ideas. Located just outside Washington, D.C., we discover and share new knowledge every day through our renowned research enterprise and programs in academics, the arts and athletics. And we are committed to social entrepreneurship as the nation's first "Do Good" campus. EEO Statement The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy. Title IX Non-Discrimination Notice Resources Learn how military skills translate to civilian opportunities with O
  • Net Online The University works hard to make its websites accessible to any and all users.
If you need assistance completing the application process, please contact us at one of the below options:
Email:
jobs@umd.edu
Phone:
301.405.7575
Maryland Relay:
Dial 711 This contact information cannot be used to inquire about application status. There are some positions that are not advertised on this career site as the search is being managed by a Search Firm. Please visit the link below to see these available opportunities: Search Firm Managed Opportunities

Similar remote jobs

Similar jobs in Auburn, AL

Similar jobs in Alabama