Senior DevOps/MLOps Engineer

Who We Are

Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation’s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.

Our Culture

As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.

Job Description

Trusted Space is seeking a Senior DevOps/MLOps Engineer with a Bachelor’s degree or higher and 8+ years’ experience to join our team.

• Supports software development and AI/ML teams through management of CI/CD pipelines that automate builds, training, testing and deployments.
• Evangelize best practices for both traditional DevOps and MLOps across teams.
• Works closely with development teams to troubleshoot build and deployment issues.
• Manages cloud based build servers and services.
• Shepards AI/ML models through the full training lifecycle.

Qualifications

• Bachelor’s degree or higher in Computer Science or related field. Additional experience may be considered in lieu of a degree.
• 8+ years in DevOps/MLOps or related experience
• 4+ years of experience in Python
• Experience with build systems and compilers for various languages (Gradle, Maven, GCC/Clang, CMake, Cargo, Poetry, PIP)
• Experience with at least one application Lifecycle framework (Azure DevOps, Gitlab, Bitbucket/Bamboo)
• Experience with at least one ML Lifecycle framework (SageMaker, Vertex AI, MLflow, Kubeflow, Metaflow, Feast)
• Experience troubleshooting CI/CD build failures and dependency issues
• Experience with artifact repositories (Nexus, Azure Artifacts, Artifactory)
• Experience working in Linux-based operating systems
• Experience working with scripting languages (bash, powershell)
• Experience with cloud architecture to include using containers (Docker, Kubernetes)
• Ability to work in restricted or air-gapped environments
• An active TS/SCI clearance

Desired Skills

• Microsoft Security+ Certification
• Experience with SCA tools (SonarQube, Fortify)
• Experience with Agile Methodology

Salary Range

The salary range for this role is $150,000-$200,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.

Benefits

Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance.

Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need.