Cloud Native Software Engineer SME

Posted Yesterday
Hiring Remotely in United States
Remote
195K-264K Annually
Senior level
Aerospace • Information Technology • Professional Services • Security • Software
The Role
Leads the strategy, architecture, and implementation of enterprise AI-assisted and cloud-native software development capabilities. Evaluates AI tools, establishes engineering standards, develops proof-of-concept solutions, guides technical architecture, and coaches engineering teams. The role requires full-stack development, cloud platforms, CI/CD, DevSecOps, secure coding, distributed systems, and experience delivering mission software across complex programs.
Summary Generated by Built In

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 SME 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%

Telecommuting 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 and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 



Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Skills Required

  • Bachelor’s degree in Computer Science, Engineering, or a 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 and demonstrating solutions to customers
  • Must be a US Person
  • Understanding of AI-enabled development workflows, prompt and harness engineering, code-generation improvement, validation, and AI/agentic automation ROI
  • Experience assessing AI-development maturity and defining capability roadmaps, operating models, and adoption strategies
  • Experience evaluating, selecting, and operationalizing AI-enabled development tools
  • Hands-on experience with LLM-based frameworks and retrieval-augmented generation
  • Ability to architect, engineer, and demonstrate customer proof-of-concept solutions
  • Experience developing technical solutions for complex mission software pursuits
  • Experience hiring, coaching, and scaling engineers in AI-assisted development techniques
  • Experience creating developer education programs, playbooks, engineering practices, or communities of practice
  • Experience driving technical vision, architecture standards, and execution across multi-team programs
  • Experience leading full software development and product lifecycles in agile and hybrid environments
  • Experience with CI/CD, DevSecOps, TDD, BDD, automation frameworks, and quality engineering
  • Experience developing solutions within distributed 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, or Next.js
  • Experience with Linux, Unix, RHEL, OpenShift, or similar platforms
  • Experience designing APIs and web services, secure coding standards, and scalable architectures
  • Understanding of Federal acquisition and security compliance, including FedRAMP and ATO implications
  • Experience building an enterprise AI-assisted development capability or platform
  • Experience productizing internal capabilities into customer-facing solutions or services
  • Familiarity with AWS, GCP, Azure, and related AI/ML services
  • Experience managing vendor relationships with OEMs and ISVs
  • Expertise with CI/CD automation, IaC, Policy as Code, and governance automation frameworks such as Terraform and Ansible
  • Ability to translate technical concepts for nontechnical stakeholders and influence senior leadership

General Dynamics Information Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about General Dynamics Information Technology and has not been reviewed or approved by General Dynamics Information Technology.

  • Affordable Benefits — Pay and benefits are described as good or okay in multiple places, and the overall package is often portrayed as acceptable even when base pay is not viewed as top-tier.
  • Healthcare Strength — Medical, dental, and vision plan options are presented as comprehensive, with additional protections like disability and life insurance contributing to a well-rounded health and protection offering.
  • Retirement Support — A 401(k) plan with company match is consistently highlighted as part of the total rewards package, supporting longer-term financial planning.

General Dynamics Information Technology Insights

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The Company
HQ: Falls Church, VA
21,625 Employees

What We Do

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

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