Cloud Native Software Engineer SME

GD Information Technology, Inc. (GDIT) is hiring a senior AI-assisted, cloud-native software engineering SME to build and scale its AI-assisted software development capability. The role combines technical leadership, solution architecture, hands-on engineering, proof-of-concept development, and organizational adoption of AI-enabled development practices.

Responsibilities:

• 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

Requirements:

• Applications Architecture
• Artificial Intelligence (AI)
• Cloud Engineering
• Product Lifecycle
• Software Development
• 15 + years of related 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
• 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)
• 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
• Ability to rapidly architect, engineer and demonstrate customer proof of concept solutions
• Ability to develop and articulate technical solutions for complex Mission Software growth pursuits
• Ability to identify, hire, coach, and scale engineers in AI-assisted development techniques, responsible use, productivity strategies, and integration patterns
• Experience creating developer education programs, playbooks, best practices, or internal communities of practice to facilitate large-scale change management initiatives
• Experience functioning as an internal SME, providing architectural guidance on how AI changes software engineering design patterns, quality models, and delivery processes
• Demonstrated ability to drive technical vision, architecture standards, and execution across complex, multi-team programs
• Experience leading full SDLC and product lifecycle delivery in both agile and hybrid environments
• Strong background implementing operational and engineering standards including 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 including proficiency across multiple programming languages, including Java, JavaScript, Python, .NET, and others
• Hands-on experience using modern front-end and back-end frameworks (e.g., Angular, React, Spring Boot, Django, Next.js, etc.)
• Experience implementing and integrating solutions across variety of operating systems (e.g., Linux, Unix) and Platforms as a Service (e.g., RHEL, OpenShift)
• Deep experience with API/webservice design, secure coding standards, and scalable architectural patterns
• Understanding of Federal acquisition and security compliance including FedRAMP and Authority To Operate (ATO) implications across Government Cloud and classified environments
• Experience building an enterprise AI-assisted development capability or platform offering
• Prior experience productizing internal capabilities into customer-facing solutions or services
• Familiar with Cloud-native platforms (AWS, GCP Azure,) and related AI/ML services including experience managing vendor relationships with OEM and ISVs
• Expertise with CI/CD automation, IaC, Policy as Code, and governance automation frameworks (Terraform, Ansible, etc.)
• Ability to translate technical concepts for non-technical stakeholders and influence across senior leadership levels
• Demonstrated ability to stay current with emerging AI, development, and architecture trends, and drive organizational adoption strategies