Cloud Native Software Engineer SME

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 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

Technical Leadership & Architecture:

• •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

Software Engineering Experience :

• •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

Preferred Skills:

• •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

Location: Remote

• GDIT IS YOUR PLACE
• At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities

Support: An internal mobility team focused on helping you achieve your career goals

• •Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• •Community: Award-winning culture of innovation and a military-friendly workplace

• OWN YOUR OPPORTUNITY
• Explore a career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your sense of ownership and pride in the meaningful work we do.

The likely salary range for this position is $195,240 - $264,148. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

T elecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre a