AI DevOps / Platform Engineer
About The Position
Hermeus is a high-speed aircraft manufacturer focused on the rapid design, build, and test of high-Mach and hypersonic aircraft for the national interest. Working directly with the Department of Defense, Hermeus delivers capabilities that will ensure that our nation, and our allies, maintain an asymmetric advantage over any and all potential adversaries. We are seeking a highly motivated and experienced AI DevOps / Platform Engineer to join our team. In this role, you will design, implement, and scale infrastructure and automation that integrates AI into our engineering workflows â enabling faster iteration, stronger reliability, and smarter operations across the organization. We are open to considering mid-level, senior, or principal candidates depending on experience.
Requirements
- Bachelorâs or Masterâs degree in Computer Science, Software Engineering, or a related field
- 5+ years of professional experience in DevOps, platform engineering, or MLOps
- Proficiency with CI/CD tools (GitHub Actions, GitLab, Jenkins, etc.)
- Hands-on experience with AWS or equivalent cloud platforms
- Strong scripting and automation skills (Python, Bash)
- Experience with containers and orchestration (Docker, Kubernetes)
- Demonstrated ability to integrate AI/ML or intelligent automation into engineering workflows
Nice To Haves
- Experience with AIOps, anomaly detection, or ML-based testing frameworks
- Familiarity with infrastructure-as-code tools (Terraform, CloudFormation)
- Knowledge of secure DevOps / DevSecOps practices, particularly in regulated industries
- Exposure to aerospace or defense systems and simulation environments
- Strong problem-solving skills and ability to work in fast-paced, high-iteration environments
- Excellent communication skills and ability to collaborate across hardware, software, and systems teams
- Startup or early-stage company experience
Responsibilities
- Design, implement, and maintain CI/CD pipelines for aerospace software and simulation environments
- Integrate AI-driven tools into engineering workflows (e.g., intelligent code assistance, anomaly detection, automated testing frameworks)
- Build and manage scalable cloud infrastructure (AWS or equivalent) to support R&D, simulation, and production environments
- Develop monitoring, logging, and alerting systems enhanced by AI for predictive insights
- Collaborate with aerospace, flight software, and test engineers to ensure seamless integration between software, hardware, and operations
- Write efficient, maintainable, and well-documented infrastructure code (Python, Bash, IaC)
- Conduct system reviews and implement best practices for secure and reliable operations
- Stay up-to-date with emerging AI/ML and DevOps technologies, applying them to improve speed, safety, and scalability
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
