Senior Software Engineer, AI Platform

Responsibilities

• Design and implement secure CI/CD pipelines for automated build, test, and deployment across multiple enclaves.
• Optimize build and test processes, reduce deployment friction, and integrate security controls early in the development lifecycle.
• Build Infrastructure-as-Code frameworks to provision and configure development, test, and production environments.
• Ensure infrastructure meets DISA STIG and NIST 800-53 requirements.
• Create monitoring and logging infrastructure supporting security operations, troubleshooting, and incident response.
• Own software delivery epics, instrument CI experience metrics, and improve multi-stage release pipelines across cloud and robotic environments.

Requirements

• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or GitHub Actions.
• Proficiency in programming languages such as Python, C++, and Rust.
• Solid understanding of software engineering fundamentals, including design patterns, testing, version control, and debugging.
• Familiarity with Infrastructure-as-Code tools such as Crossplane, Terraform, Ansible, Puppet, or Chef.
• Working knowledge of Docker and orchestration platforms such as Kubernetes and Docker Swarm.
• Understanding of Linux system administration, networking, and scripting with Python and Bash.
• Desired qualifications include experience in classified DoD or IC environments, CircleCI, GitOps workflows, declarative infrastructure management, and observability tools including Datadog, Prometheus, Grafana, ELK, and Splunk.

Benefits

• Competitive benefits package available at little to no cost to employees.
• Full-time employees may receive competitive equity grants as part of total compensation.
• US base salary range is $191,000–$253,000.
• The posting does not state a work arrangement or specific office requirement.