Cloud Native Software Engineer SME at General Dynamics in Any Location

Job description

Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Software Engineering Job Qualifications: Skills: Applications Architecture, Artificial Intelligence (AI), Cloud Engineering, Product Lifecycle, Software Development Certifications: None Experience: 15 + years of related experience US Citizenship Required: No Job Description: Support mission-critical initiatives and enable the growth of our business as a Senior AI-assisted / Cloud-Native Software Engineer SME at GDIT. Here, you’ll become an integral part of how GDIT is able to ensure the safety and security of our nation. MEANINGFUL WORK AND PERSONAL IMPACT: You will serve as a senior engineering leader responsible for building and scaling our AI‑Assisted Software Development capability driving Mission Software growth and delivery excellence. This role goes far beyond “using AI tools” – you will be part of team that establishes the strategy, operating model, practices, and technical foundations required to transform how our teams design, build, test, and deliver software solutions and products using modern AI-enabled development approaches. As a Senior AI-assisted / Cloud-native Software Engineer SME , you will be trusted to help drive the technical solutions needed to win our most complex, large-scale, and strategic pursuits as well as extend our existing Mission Software portfolio You will evaluate and rationalize existing AI-enabled tools and platforms across the organization, become the internal expert on their use and integration, define best practices, upskill our engineers, and operationalize AI‑assisted development as an enterprise capability we can confidently take to market You will architect, engineer and demonstrate innovative proof of concept solutions that solve key customer challenges The role blends technical leadership, solution architecture, go-to-market, organizational change management, and hands-on engineering expertise This is a highly strategic and highly technical leadership role designed for an experienced engineering leader who thrives in emerging technology spaces and enjoys scaling new capabilities from the ground up WHAT YOU’LL NEED TO SUCCEED Bring your initiative and drive for innovation to GDIT. The Senior AI-assisted / Cloud-Native Software Engineer SM E must have: Education & Experience: BA/BS in Computer Science, Engineering, or related field (or equivalent experience) 15+ years of progressive software architecture and engineering experience including leading architecture and engineering best practices across complex teams required Proven experience developing mission software products, capability development, and demonstrating developed solutions to customers Must be a US Person (needed to access sensitive GDIT enterprise systems) AI-assisted / AI-native Engineering experience: Strong understanding of AI-enabled development workflows, not just tool usage: prompt and harness‑engineering patterns, code‑gen improvement loops, safety/quality validation, and architectural impacts, as well as ability to identify, track, and articulate ROI associated with AI and agentic automation Ability to assess organizational AI-development maturity and define roadmaps, capability models, and adoption strategies, including ability to identify and implement new operational models (i.e., team size and composition, sprint planning, code reviews, etc.) to optimize delivery Direct experience evaluating, selecting, and operationalizing AI-enabled development tools (Anthropic Claude Code, Open AI Codex, Google Gemini, GitHub Copilot etc.) Hands-on experience using LLM-based frameworks and retrieval-augmented generation (RAG) as part of software delivery Capability & Solution Development: Ability to rapidly architect, engineer and demonstrate customer proof of concept solutions Ability to develop and articulate technical solutions for complex Mission Softwa