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

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

Rackner invests in your growth, stability, and long-term success:

Paid certifications & professional development

401(k) with 100% match up to 6%

Highly competitive PTO

Comprehensive Medical, Dental, Vision coverage

Life Insurance + Short & Long-Term Disability

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)

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.