MLOps Software Engineer (TS/SCI with Poly)

MLOps Software Engineer

Job Type: Full-Time

Clearance Required: Active Top Secret with Favorable Polygraph

Location: Onsite (U.S. Citizenship Required)

Visa Sponsorship: Not Available

Perks and Benefits

100% Paid Healthcare

31 Days PTO (including U.S. holidays)

10% 401(k) contribution in every paycheck

100% Fully Vested from Day One

Tuition Reimbursement + Student Loan Repayment

Unlimited Upskilling & Career Development Opportunities About the Role

Do you thrive on solving hard technical problems, diving into the latest technologies, and influencing critical outcomes?

Our client is seeking a Software Engineer with experience in machine learning operations (MLOps), Kubernetes, and high-performance computing (HPC) environments. This role offers the opportunity to work on mission-critical systems for the U.S. Government in one of the most dynamic and impactful areas of national security.

If you're looking for meaningful, high-impact work, we encourage you to apply.

What You'll Be Doing

As part of an elite engineering team, you'll design, build, and maintain robust, scalable pipelines to enable machine learning model training and inference in a secure Kubernetes-based environment. You'll help deliver efficient and compliant solutions for model deployment and performance tuning.

Your work may involve:

Developing data-aware model training pipelines

Building secure, scalable Kubernetes-based inference pipelines

Integrating custom metrics to support real-time performance tuning

Working with large-scale, high-throughput systems in an HPC context Tech You'll Work With

You'll work with cutting-edge systems that may include:

Real-time and high-volume data pipelines

HPC clusters for parallelized computing

Data repositories, transport services, and analytics stacks

DevSecOps pipelines and ML model orchestration platforms Required Skills

Proficient in Linux CLI

Strong Python development experience

Experience with ETL/data processing workflows using Spark or Dask

Developing and deploying containerized applications

Writing and deploying Kubernetes resources

Creating and maintaining Helm charts Preferred/Bonus Skills

Go programming experience

Experience with CI/CD tools like GitLab and Flux CD

Experience working with or debugging GPU-enabled applications

Familiarity with policy management tools (e.g., Kyverno)

Experience using image builder tools like Ko (for Go)

Exposure to ML frameworks: PyTorch, TensorFlow, etc.

Familiarity with ML orchestration tools (e.g., Kubeflow, NeMo, PyTorch Lightning)

Monitoring tools like Prometheus and Grafana

Experience with Atlassian tools (JIRA, Confluence) Minimum Qualifications

5+ years of relevant software engineering experience

Bachelor's degree in Computer Science or related discipline

Active Top Secret clearance with favorable polygraph

Compensation

Competitive annual salary + performance bonus

Includes full benefits package

If you're ready to advance your career while making a real-world impact in national defense, we'd love to hear from you.

We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.