Cloud Native Software Engineer, SME

General Dynamics Information Technology

. Build and scale GDIT’s AI-assisted Software Development capability .

Posted 10/14/2026full-timeRemote • United StatesSeniorLead💰 $195,240 - $264,148 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-assisted software development, including architecture, engineering best practices, and the ability to lead complex, multi-team programs. Proficient in developing technical solutions, creating educational programs, and driving organizational adoption of AI-enabled tools and methodologies.

Highest-signal resume keywords

AI-Enabled Development WorkflowsFull-Stack Development ExperienceExperience with CI/CD and DevSecOpsArchitecting Proof-of-Concept SolutionsTechnical Leadership in Agile Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureAI Tool Evaluation and IntegrationProgramming Languages: Java, JavaScript, Python, .NETFrameworks: Angular, React, Spring Boot, Django, Next.jsAPI/Webservice DesignQuality Engineering PracticesHands-On Experience with LLM-Based FrameworksSafety/Quality ValidationArchitectural Impacts of AIAgile and Hybrid SDLC

Soft Skills

LeadershipCoaching and MentoringCommunication with Non-Technical StakeholdersOrganizational Change ManagementInfluencing Senior Leadership

Tools & Technologies

Anthropic Claude CodeOpenAI CodexGoogle GeminiGitHub CopilotTerraformAnsibleCloud Platforms: AWS, GCP, AzurePaaS Platforms: RHEL, OpenShiftAutomation FrameworksGovernance Automation Frameworks

Industry Keywords

Mission SoftwareFederal Acquisition ComplianceFedRAMPATO ImplicationsAI/ML Services

Tech Stack

Tools & technologies

AngularAnsibleAWSAzureCloudDjangoGoogle Cloud PlatformJavaJavaScriptLinuxNext.jsOpenShiftPythonReactSDLCSpringSpring BootSpringBootTerraformUnix.NET

About the role

Key responsibilities & impact

Build and scale GDIT’s AI-assisted Software Development capability
Establish strategy, operating model, practices, and technical foundations for AI-enabled software design, development, testing, and delivery
Drive Mission Software growth and delivery excellence
Support complex, large-scale, and strategic pursuits and extend the Mission Software portfolio
Evaluate and rationalize AI-enabled tools and platforms across the organization
Serve as the internal expert on AI-enabled tool use and integration
Define best practices and operationalize AI-assisted development as an enterprise capability
Upskill engineers and facilitate organizational adoption
Architect, engineer, and demonstrate innovative proof-of-concept solutions for customer challenges
Provide technical leadership across solution architecture, go-to-market, organizational change management, and hands-on engineering
Develop and articulate technical solutions for complex Mission Software growth pursuits
Hire, coach, and scale engineers in AI-assisted development techniques
Create developer education programs, playbooks, best practices, and communities of practice
Provide architectural guidance on AI’s impact on software engineering design patterns, quality models, and delivery processes
Drive technical vision, architecture standards, and execution across complex, multi-team programs
Lead full SDLC and product lifecycle delivery in agile and hybrid environments

Requirements

What you’ll need

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
Proven experience developing mission software products, capability development, and demonstrating solutions to customers
Must be a US Person
Strong understanding of AI-enabled development workflows, 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, including 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
Ability to develop and articulate technical solutions for complex Mission Software growth pursuits
Experience hiring, coaching, and scaling 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-related 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 with 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 operating systems such as Linux and Unix and PaaS platforms such as RHEL and OpenShift
Deep experience with API/webservice design, secure coding standards, and scalable architectural patterns
Preferred: Understanding of Federal acquisition and security compliance, including FedRAMP and ATO implications
Preferred: Experience building an enterprise AI-assisted development capability or platform offering
Preferred: Experience productizing internal capabilities into customer-facing solutions or services
Preferred: Familiarity with cloud-native platforms such as AWS, GCP, and Azure and related AI/ML services
Preferred: Experience managing vendor relationships with OEMs and ISVs
Preferred: Expertise with CI/CD automation, IaC, Policy as Code, and governance automation frameworks such as 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 and drive organizational adoption strategies

Benefits

Comp & perks

Comprehensive medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan with company match
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
Remote work / telecommuting