Principal Software Engineer – AI, Software Factory Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop platform products, tools, automation, and AI capabilities for engineering teams.

• Write production-level code daily as part of a small, experienced team.

• Provide software factories, security automation, and AI-enabled development environments for the Department of War and federal customers.

• Collaborate across multiple concurrent R&D and customer delivery projects.

• Optionally engage in proposal writing and customer demonstrations.

• Create agentic AI capabilities, such as tool orchestration, LLM applications, and workflow automation.

• Implement automation for continuous Authority to Operate, including evidence gathering, compliance reporting, and policy-as-code enforcement.

• Develop secure-by-default CI/CD pipeline products featuring hardening templates, security scanning, SBOM, signing, provenance, and attestation controls.

• Enhance the platform with developer onboarding automation, reusable deployment patterns, and AI development tools.

• Provide support for air-gapped environments.

• Deliver and maintain production on hardened Kubernetes in CUI/IL5 environments.

• Act as a technical subject matter expert in proposals, RFI responses, or customer interactions.

⛳️ Requirements

• A Bachelor's degree and 8+ years of experience, or 12+ years of hands-on experience in lieu of a degree.

• At least 5+ years of relevant experience in Software Engineering and DevOps/DevSecOps technologies.

• Minimum of 3+ years of practical experience with Kubernetes.

• Strong development skills in Python, Go, or a similar programming language.

• Regular use of AI-powered development tools, code assistants, or LLM-based tooling.

• Experience in CI/CD pipeline development; GitLab CI is strongly preferred, while Jenkins or GitHub Actions are also accepted.

• Integration of security scanning within automated pipelines, including SAST, DAST, SCA, and container scanning.

• Familiarity with containerization using Docker, Helm, and OCI artifacts.

• Experience with Infrastructure as Code using Terraform and/or Ansible.

• Proficient in Git-based workflows, GitOps deployment patterns, and sound Linux fundamentals.

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

• Excellent written and verbal communication skills, with the ability to manage multiple projects with changing priorities.

• No clearance is required to start, but the ability to obtain and maintain a Secret clearance is necessary.

• US Citizenship is mandatory.

• Willingness to travel up to 10%.

• Preferred qualifications include experience with agentic AI frameworks or LLM APIs, Platform One/Big Bang, Iron Bank, DoW security frameworks, software supply chain security, AI/ML infrastructure, CKAD certification, and technical SME customer engagements.

🏝️ Benefits

• AI-driven career tool to identify career paths and learning opportunities.

• Internal mobility team dedicated to career objectives.

• Comprehensive benefits and wellness packages.

• 401(k) plan with company matching.

• Competitive salary.

• Paid time off.

• Options for medical plans, some with Health Savings Accounts.

• Dental plan options available.

• Vision plan options available.

• Opportunity to contribute pre-tax and post-tax to 401(k) up to IRS annual limits.

• Flexible work weeks where feasible.

• Leave for vacation, sick days, personal matters, holidays, parental leave, military service, bereavement, and jury duty.

• Typically, 15 days of paid leave per calendar year.

• 10 paid holidays annually.

• Paid Family Leave of up to 160 hours within a rolling 12-month period for eligible employees.

• Short- and long-term disability benefits.

• Life insurance coverage.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.

• Remote work opportunities.