Principal Software Engineer - AI & Software...

General Dynamics Information Technology
Fairfax, VA, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$113,900.0 - $154,100.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Continuous Integration Linux DevOps Programming Tools Github Python (Programming Language) Ansible Software Engineering Software Factory Policy as Code Large Language Models
+16 more
SC Clearance Containerization Gitlab-ci Git Flow Kubernetes Production Code Machine Learning Operations Terraform Oracle Cloud Infrastructure Devsecops Docker Security Orchestration, Automation & Response Jenkins Static Application Security Testing Vulnerability Analysis Dynamic Application Security Testing

Job description

We’re looking for a software engineer who likes building platform products - the tooling, automation, and AI capabilities other engineering teams build on top of. You’ll write production code daily on a small, senior team delivering software factories, security automation, and AI-enabled development environments for Department of War and Federal customers. If your instinct when you see a manual process is to write code that eliminates it, this role is built for you.

MEANINGFUL WORK AND PERSONAL IMPACT

You’ll work across multiple concurrent R&D and customer delivery efforts rather than a single narrow program, with the option to engage in proposals and customer demos if you want to build business acumen alongside technical depth

  • Build agentic AI capabilities - tool orchestration, LLM application development, and workflow automation - using AI-assisted development daily

  • Develop software that automates continuous Authority to Operate (cATO): evidence collection, compliance reporting, and policy-as-code enforcement

  • Build secure-by-default CI/CD pipeline products - hardening templates, integrated security scanning (SAST, SCA, container, SBOM), and supply chain controls (signing, provenance, attestation) - that development teams across our portfolio consume

  • Extend the platform with self-service capabilities: developer onboarding automation, reusable deployment patterns, and AI development tools (code assistants, model serving) - including for air-gapped environments

  • Ship to and support production on hardened Kubernetes (Big Bang / Iron Bank) in CUI/IL5 environments - we run what we build

Requirements

Containerization Software,GitLab CI/CD,Kubernetes Orchestration,Software Delivery

Experience:

8 + years of related experience, + Education: Bachelor’s degree and 8+ years experience. In lieu of degree 12+ years of hands-on experience

  • Experience: 5+ years of related experience in Software Engineering, DevOps / DevSecOps technologies; 3+ years of hands on experience with Kubernetes

  • Strong development skills in Python, Go, or similar - you build tooling and applications, not just configure them

  • Daily use of AI-powered development tools (code assistants, LLM-based tooling)

  • CI/CD pipeline development - GitLab CI strongly preferred; Jenkins, GitHub Actions, or similar accepted

  • Security scanning integration in automated pipelines (SAST, DAST, SCA, container scanning)

  • Containerization (Docker, Helm, OCI artifacts) and Infrastructure as Code (Terraform and/or Ansible)

  • Git-based workflows, GitOps deployment patterns, and solid Linux fundamentals

  • Experience working in or deploying to classified or air-gapped environments

  • Strong written and verbal communication; comfort juggling multiple projects with shifting priorities

  • Security clearance level : No clearance required to start with ability to obtain and mantain a Secret clearance

  • Location : Remote with travel up to 10%, + Hands-on experience with agentic AI frameworks or LLM APIs (tool-use patterns, orchestration, RAG)

  • Platform One / Big Bang, Iron Bank, or DoW-hardened Kubernetes distributions

  • DoW security and authorization frameworks (NIST 800-53, RMF, cATO)

  • Software supply chain security practices (Sigstore/Cosign, Syft, in-toto)

  • AI/ML infrastructure in enterprise or air-gapped environments (model serving, GPU scheduling on K8s)

  • Certified Kubernetes Application Developer (CKAD) certification

  • Supporting proposals, RFI responses, or customer engagements as a technical SME

Benefits & conditions

The likely salary range for this position is $113,900 - $154,100. 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.

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 the company

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 https://gdit.com/tc.

Apply for this position

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