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