What are the responsibilities and job description for the MLOps Software Engineer (TS/SCI with Poly) position at Staffed4U?
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
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✅ 100% Paid Healthcare
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🌴 31 Days PTO (including U.S. holidays)
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💸 10% 401(k) contribution in every paycheck
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🔐 100% Fully Vested from Day One
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🎓 Tuition Reimbursement Student Loan Repayment
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🚀 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:
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Developing data-aware model training pipelines
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Building secure, scalable Kubernetes-based inference pipelines
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Integrating custom metrics to support real-time performance tuning
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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:
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Real-time and high-volume data pipelines
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HPC clusters for parallelized computing
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Data repositories, transport services, and analytics stacks
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DevSecOps pipelines and ML model orchestration platforms
Required Skills
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Proficient in Linux CLI
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Strong Python development experience
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Experience with ETL/data processing workflows using Spark or Dask
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Developing and deploying containerized applications
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Writing and deploying Kubernetes resources
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Creating and maintaining Helm charts
Preferred/Bonus Skills
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Go programming experience
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Experience with CI/CD tools like GitLab and Flux CD
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Experience working with or debugging GPU-enabled applications
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Familiarity with policy management tools (e.g., Kyverno)
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Experience using image builder tools like Ko (for Go)
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Exposure to ML frameworks: PyTorch, TensorFlow, etc.
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Familiarity with ML orchestration tools (e.g., Kubeflow, NeMo, PyTorch Lightning)
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Monitoring tools like Prometheus and Grafana
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Experience with Atlassian tools (JIRA, Confluence)
Minimum Qualifications
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5 years of relevant software engineering experience
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Bachelor’s degree in Computer Science or related discipline
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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.