About The Position

STR’s Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span data analysis, deep learning, and statistical techniques across social media, text, time series, geospatial, and imagery data. We operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe. As a Lead Software Engineer / Back-End Developer, you will join a cross-functional team tasked with implementing software solutions to challenging, high-impact problems. You will create infrastructure to process, store, and expose large and varied datasets that include imagery, structured and unstructured text, geospatial data, and more. You will work alongside algorithm developers and end users to deploy advanced analytic components on various compute platforms, including both on-prem and cloud environments. You will build, demonstrate, and transition systems to partner organizations. Positions are available in both Woburn, MA and Arlington, VA. Due to the nature of our work, applicants should expect to primarily work onsite.

Requirements

  • Active Top Secret security clearance, for which U.S citizenship is needed by the U.S government
  • Degree in Software Engineering, Computer Engineering, Computer Science, or other engineering or scientific field with 2-8+ relevant experience depending on the degree
  • 5 years of experience in developing, deploying, or maintaining enterprise software solutions
  • Software team leadership experience, especially for distributed cross-functional teams
  • Strong problem solving, debugging, and analytical skills
  • Knowledge of Mobile Operating System (iOS/Android) and mobile based applications
  • Expertise in OOP languages, Linux command line tools, and shell scripting

Nice To Haves

  • Active TS/SCI security clearance
  • Reverse engineering experience
  • Experience in designing/developing platform components: Kubernetes, containers, etc.
  • AWS tools proficiency including AWS security, Route 53, EC2 deployments, and other deployment tools
  • Experience deploying ETL processes and/or machine learning models into production
  • Familiarity with statistical and/or machine learning models
  • Programming skills in CUDA
  • Understanding of telecommunication networks

Responsibilities

  • Create infrastructure to process, store, and expose large and varied datasets that include imagery, structured and unstructured text, geospatial data, and more.
  • Work alongside algorithm developers and end users to deploy advanced analytic components on various compute platforms, including both on-prem and cloud environments.
  • Build, demonstrate, and transition systems to partner organizations.

Benefits

  • STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service