Software Engineer, AI Platform

Responsibilities

• Design and implement secure CI/CD pipelines for automated builds, testing, and deployments across multiple enclaves.
• Optimize build and test processes with software engineers to reduce deployment friction and integrate security controls early in development.
• Build Infrastructure-as-Code frameworks using tools such as Terraform and Ansible to provision and configure development, test, and production environments.
• Create monitoring and logging infrastructure supporting security operations, troubleshooting, and incident response.
• Own delivery epics, measure CI experience improvements, and support multi-stage release pipelines across cloud and robot environments.

Requirements

• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar.
• 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 including Crossplane, Terraform, Ansible, Puppet, Chef, or similar.
• 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.
• Preferred: experience deploying and maintaining systems in classified DoD or IC environments.
• Preferred: experience with CircleCI, GitOps workflows, and declarative infrastructure management.
• Preferred: proficiency with Datadog, Prometheus, Grafana, ELK, or Splunk.

Benefits

• Competitive full-time benefits available at little to no cost, supporting health, recovery, and well-being.
• Highly competitive equity grants are included in the majority of full-time offers.
• The role supports cloud and robot environments and work on defense technology delivery systems.