Senior ML Infra & Cloud Platform Engineer

Namely; Mountain View (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Namely is seeking a Senior DevOps / Cloud Platform Engineer to design, deploy, and optimize cloud infrastructure for ML/AI services. You will work with AWS EKS, SageMaker, Bedrock, Docker, Kubernetes, Terraform, Helm, and GitHub Actions to build scalable, secure platforms across development and production.

The role emphasizes infrastructure automation, reliable deployments, and close collaboration with Data Engineering, ML, and Software Engineering teams.

Qualifications

• 5+ years in DevOps, Cloud Infrastructure, SRE, or Platform Engineering.
• Strong hands-on experience with AWS.
• Production-grade Kubernetes experience and EKS administration.
• Experience with Terraform and Helm for infra automation.
• CI/CD pipelines using GitHub Actions and/or Azure DevOps.
• Experience with ML/AI deployments and self-hosted LLMs is a plus.

Responsibilities

• Design, deploy, and manage AWS/Kubernetes infrastructure for ML/AI workloads.
• Build and maintain CI/CD pipelines and versioned deployments.
• Migrate pipelines and repos from Azure to AWS/GitHub.
• Develop containerized environments and Helm charts.
• Ensure security, reliability, and cost efficiency across environments.

Skills

DevOps

AWS

Kubernetes

CI/CD

Terraform

Helm

Docker

GitHub Actions

Azure DevOps

Python/Shell

Tools

EKS

SageMaker

Bedrock

Terraform

Helm

GitHub Actions

Databricks

Elasticsearch

Job description

Namely is seeking a Senior DevOps / Cloud Platform Engineer to design, deploy, and optimize cloud infrastructure for ML/AI services. You will work with AWS EKS, SageMaker, Bedrock, Docker, Kubernetes, Terraform, Helm, and GitHub Actions to build scalable, secure platforms across development and production.

The role emphasizes infrastructure automation, reliable deployments, and close collaboration with Data Engineering, ML, and Software Engineering teams.