Cloud Native Software Engineer – SME

Job Description: • Build and scale GDIT’s AI-assisted software development capability • Establish strategy, operating models, practices, and technical foundations for AI-enabled software delivery • Drive Mission Software growth and delivery excellence • Evaluate and rationalize AI-enabled tools and platforms across the organization • Serve as the internal expert on AI tool use and integration • Define best practices and operationalize AI-assisted development as an enterprise capability • Upskill engineers in AI-assisted development • Architect, engineer, and demonstrate innovative proof-of-concept solutions for customer challenges • Drive technical solutions for complex, large-scale, strategic pursuits • Extend GDIT’s existing Mission Software portfolio • Lead technical vision, architecture standards, and execution across multi-team programs • Lead full SDLC and product lifecycle delivery in agile and hybrid environments • Implement engineering and operational standards including CI/CD, DevSecOps, TDD/BDD, automation, and quality engineering • Develop solutions across distributed and geographically dispersed teams • Provide architectural guidance on AI’s impact on software engineering design patterns, quality models, and delivery processes • Support go-to-market activities, organizational change management, and hands-on engineering Requirements: • BA/BS in Computer Science, Engineering, or related field, or equivalent experience • 15+ years of progressive software architecture and engineering experience • Experience leading architecture and engineering best practices across complex teams • Experience developing mission software products, capability development, and demonstrating solutions to customers • Must be a US Person to access sensitive GDIT enterprise systems • Strong understanding of AI-enabled development workflows, including prompt and harness-engineering patterns, code-generation improvement loops, safety/quality validation, and architectural impacts • Ability to identify, track, and articulate ROI associated with AI and agentic automation • Experience assessing organizational AI-development maturity and defining roadmaps, capability models, adoption strategies, and operational models • Experience evaluating, selecting, and operationalizing AI-enabled development tools such as Anthropic Claude Code, OpenAI Codex, Google Gemini, and GitHub Copilot • Hands-on experience with LLM-based frameworks and retrieval-augmented generation (RAG) • Ability to architect, engineer, and demonstrate customer proof-of-concept solutions • Experience developing technical solutions for complex Mission Software growth pursuits • Ability to identify, hire, coach, and scale engineers in AI-assisted development techniques • Experience creating developer education programs, playbooks, best practices, or communities of practice • Experience functioning as an internal SME for AI-driven software engineering design patterns, quality models, and delivery processes • Ability to drive technical vision, architecture standards, and execution across complex, multi-team programs • Experience leading full SDLC and product lifecycle delivery in agile and hybrid environments • Experience implementing CI/CD, DevSecOps, TDD/BDD, automation frameworks, and quality engineering practices • Experience developing solutions within distributed, cross-functional, or geographically dispersed teams • Full-stack development experience across multiple programming languages, including Java, JavaScript, Python, and .NET • Experience with modern front-end and back-end frameworks such as Angular, React, Spring Boot, Django, and Next.js • Experience integrating solutions across Linux, Unix, RHEL, OpenShift, and other platforms • Deep experience with API/web service design, secure coding standards, and scalable architectural patterns • Preferred: understanding of FedRAMP and Authority To Operate (ATO) implications • Preferred: experience building enterprise AI-assisted development capabilities or platform offerings • Preferred: experience productizing internal capabilities into customer-facing solutions or services • Preferred: familiarity with AWS, GCP, Azure, AI/ML services, and vendor relationships • Preferred: expertise with CI/CD automation, IaC, Policy as Code, governance automation, Terraform, and Ansible • Ability to translate technical concepts for non-technical stakeholders and influence senior leadership • Ability to stay current with emerging AI, development, and architecture trends Benefits: • Comprehensive benefits and wellness packages • 401K with company match • Competitive pay • Paid time off • Medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan • Full flex work weeks where possible • Vacation, sick, personal, holiday, paid parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team • Award-winning culture of innovation and military-friendly workplace