Platform Engineer (Cloud-Native AI/ML Systems Integration)

• →Architect and operate Kubernetes-based platforms supporting AI/ML workloads
• →Build and manage containerized environments (Docker, Helm, OCI) for scalable deployment
• →Design and optimize data pipelines for ingestion, transformation, and model lifecycle support
• →Integrate AI/ML services into secure, mission-critical systems
• →Develop Infrastructure as Code (Terraform, Ansible) for repeatable, compliant environments
• →Build and enhance CI/CD pipelines (GitLab, Jenkins, GitHub Actions)
• →Implement observability and monitoring (Prometheus, Grafana) to ensure system health and performance
• →Collaborate cross-functionally to translate complex requirements into deployable systems
• →Solve engineering challenges within classified and constrained environments

• Strong experience with Kubernetes and cloud-native platform engineering
• Hands-on experience with containerization (Docker, Helm)
• Experience supporting data pipelines or ML-enabled systems
• Familiarity with Infrastructure as Code (Terraform, Ansible)
• Experience with CI/CD and DevSecOps practices
• Understanding of distributed systems and system integration
• Ability to operate effectively in secure or regulated environments

• Active TS/SCI clearance strongly preferred
• Candidates with an active Secret clearance may be considered and supported for upgrade
• Candidates without an active clearance must be:
  
  • U.S. citizens
  • eligible to obtain and maintain a clearance
  • able to work in a CAC-enabled or secure environment

In many environments, AI stops at experimentation; in this role, you ensure it becomes operational capability.

• Enable AI/ML systems to move from development to deployment
• Support mission-critical operations tied to national security
• Work at the intersection of cloud-native engineering, DevSecOps, and AI infrastructure
• Build systems where failure is not an option and performance is essential

Your work directly impacts how advanced technology is applied in real-world scenarios.

• Hands-on ownership of platforms powering AI/ML in mission environments
• Exposure to complex, high-scale distributed systems
• Experience integrating modern cloud-native technologies into secure, real-world systems
• Growth across platform engineering, DevSecOps, and AI infrastructure
• The opportunity to solve problems most engineers never encounter

Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy focused on solving complex problems through distributed systems, DevSecOps, AI/ML, and modern systems architecture.

We enable digital transformation by applying cloud-first, cost-effective innovation across mission-critical environments. Our customers span a diverse and growing set of industries, and our teams are driven by a shared focus on end-to-end system delivery and real-world impact.