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Newport News ShipbuildingNewport News, VirginiaApr 23, 2026
Req ID: 45875 Team: T56 AI and Digital Innovation Entity: Newport News Shipbuilding US Citizenship Required for this Position: Yes Full-Time Shift: 1st Relocation: No relocation assistance available Virtual/Telework Opportunity: Yes - Occasional or hybrid telework available Travel Requirement: Yes, 10%-25% of the time Clearance Required: No - Clearance Not Required to Start Meet HII's Newport News Shipbuilding With more than 25,000 employees - including third-, fourth- and even fifth-generation shipbuilders - HII's Newport News Shipbuilding (NNS) division is the largest industrial employer in Virginia. We're the sole designer, builder and refueler of U.S. Navy nuclear aircraft carriers and one of two providers of U.S. Navy nuclear submarines. Our diverse and innovative team of professionals ranges from skilled trades to project managers, engineers and software developers to solution architects, technical subject matter experts, and system users. Anchored in our rich, 135-year history, we collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team? Apply today! We look forward to meeting you. The Role Design, develop, and test operating systems-level software, compilers, and network distribution software. Set operational specifications, and formulate and analyze software requirements. May design embedded systems software. We are seeking a DevOps Engineer to join our Data Science team and help build and maintain the infrastructure that powers machine learning solutions. In this role, you will design and implement robust DevOps practices tailored for ML Ops workflows, enabling seamless integration, deployment, and monitoring of machine learning models in production environments. You will work closely with data scientists and ML engineers to ensure scalable, secure, and efficient operations across the ML lifecycle. Key responsibilities include: • Developing and maintaining CI/CD pipelines for ML applications. • Automating infrastructure provisioning and configuration using modern DevOps tools. • Implementing containerization and orchestration for ML workloads. • Ensuring system reliability, security, and compliance in ML Ops environments. • Collaborating with cross-functional teams to optimize deployment and monitoring processes. Must Have Bachelor's Degree and 5 years of relevant exempt experience; Master?s Degree and 3 years of relevant professional experience; Ph.D. and 0 years of experience. One of the following may be used as an equivalent to Bachelor's Degree for Information Technology Related Positions Only: • NNS Apprentice School graduate • Navy Nuclear Power School (NNPS) graduate • Associate's Degree or other formal 2 year program and 2 years of relevant exempt experience or 4 years of relevant non-exempt experience • Military Paygrade E-5 or above military experience • High School/GED and 4 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant exempt experience • High School/GED and 8 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant non-exempt experience • A relevant professional certification can be substituted for a Bachelor's Degree. • • Bachelor's degree in Computer Science, Engineering, or related field. • 5 years of experience in DevOps or related engineering roles. Master's degree and 3 years of relevant experience. PhD and 0 years of experience. • Strong proficiency with CI/CD tools (Jenkins, GitLab CI, Azure DevOps). • Hands-on experience with containerization and orchestration (Docker, Kubernetes). • Familiarity with cloud platforms (AWS, Azure, GCP). • Knowledge of infrastructure-as-code tools (Terraform, Ansible). • Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack). • Solid understanding of version control systems (Git). Nice to Have • Experience supporting ML Ops workflows and machine learning deployments. • Familiarity with ML Ops tools (MLflow, Kubeflow, Airflow). • Knowledge of security best practices for ML and cloud environments. • Experience with large-scale data processing systems (Spark, Hadoop). • Strong scripting skills (Python, Bash). • Contributions to open-source DevOps or ML Ops projects. • Ability to work collaboratively in a fast-paced, cross-functional environment. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'l

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