Lead DevOps Engineer

About the Team

STR’s Analytics & C2 (AC2) Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to develop and mature innovative ideas from conception to improve mission success of our customers. The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development we build tools that support tactical mission planning and execution, autonomous reasoning, and more.

The Role

As a Lead DevOps Engineer, you will work as a leader of software teams to design, develop, and maintain infrastructure and tooling to deploy software in operational use focused on advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA, Arlington, VA, or Dayton, OH, and will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely.

Who You Are

• U.S. Citizen with BS in Computer Science or related technical field with 7+ years’ experience
• Experience with GitLab CI/CD
• Hands-on experience with AWS EKS, ECR, and EC2
• Experience with containerization and Kubernetes
• Proficiency with Helm
• Strong Linux skills
• Scripting and automation with Python
• Proven ability to lead within agile teams through complete development lifecycle including task definition, delegation, and maintenance
• Demonstrated success driving industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high-quality software products
• Comfortable working both with internal leadership and external customers in the development and execution of software product plans
• A demonstrated ability to adopt new languages, libraries, and technologies

Even Better

• MS or PhD in Computer Science or related technical field
• Experience building and maintaining CI/CD pipelines
• Familiarity with cloud-native deployments on AWS and Rancher
• Experience troubleshooting containerized applications in integration and production