AI Cloud Platform Engineer: Kubernetes & DevSecOps (Remote)

Talantir; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid certifications & professional dev

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

Highly competitive PTO

Medical, Dental, Vision coverage

Life Insurance + Short & Long-Term DI

Home office & equipment plan

Industry-leading weekly pay schedule

Job summary

Rackner is seeking a Platform Engineer to design and operate cloud-native AI/ML infrastructure for mission-critical environments. You will bridge AI development and deployment, ensuring scalable, secure systems that meet stringent performance requirements.

You’ll work with Kubernetes, Docker, Terraform, and CI/CD pipelines, delivering repeatable environments and robust observability in regulated settings. Dayton, OH preferred, with remote eligibility.

Qualifications

• Strong Kubernetes & cloud-native platform engineering experience
• Hands-on containerization with Docker, Helm
• Experience with data pipelines or ML-enabled systems
• Familiarity with Terraform, Ansible IaC
• Experience with CI/CD and DevSecOps
• Understanding of distributed systems and system integration
• Ability to operate in secure/regulatory environments

Responsibilities

• 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

Skills

Kubernetes

Cloud-native platform engineering

Data pipelines

Distributed systems

DevSecOps

Secure environments

Tools

Docker

Helm

OCI

Terraform

Ansible

GitLab

Jenkins

GitHub Actions

Prometheus

Grafana

Job description

Rackner is seeking a Platform Engineer to design and operate cloud-native AI/ML infrastructure for mission-critical environments. You will bridge AI development and deployment, ensuring scalable, secure systems that meet stringent performance requirements.

You’ll work with Kubernetes, Docker, Terraform, and CI/CD pipelines, delivering repeatable environments and robust observability in regulated settings. Dayton, OH preferred, with remote eligibility.