ENGINEER SOFTWARE QUALITY 3

The Role

Develops, modifies, applies, and maintains standards for software quality operating methods, processes, systems and procedures. Conducts software inspection, testing, verification and validation. Implements software development and maintenance processes and methods. Ensures measures meet acceptable reliability standards. Develops overall operating criteria to ensure implementation of the software quality program according to project, process and contract requirements and objectives. Ensures that project and process control documentation are compliant with requirements, objectives and/or contract. Reviews software design, change specifications, and plans against contractual and/or process requirements. Reviews include applicable specifications, materials, tools, techniques, and methodologies. Performs or directs verification of software requirement allocations, traceability, and testability.

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.

Nice to Have

- Proficient in one or more: Java, C++, C#, Python, JavaScript/TypeScript, SQL. - Experience designing, developing, integrating, and maintaining enterprise or shipyard-supporting systems. - Strong knowledge of software architecture, system design, data structures, and algorithms. - Familiar with secure coding standards, CI/CD pipelines, automated testing, and Git. - Working knowledge of cloud platforms (Azure/AWS), containers (Docker/Kubernetes), microservices. - Familiarity with AI/ML concepts and Large Language Models (LLMs), including prompt integration, basic model evaluation, and using AI-enabled development tools. - Understanding of data governance, model security, and responsible AI practices within regulated environments.