Description

You will engineer and maintain the deployment infrastructure for Python applications and ML pipelines.

This role is hybrid.

Responsibilities

• Deploy Python applications into Docker containers managed by Kubernetes.
• Build and manage CI/CD pipelines using GitHub or GitLab.
• Maintain AWS compute and storage components, including S3, EC2, and Route 53.
• Develop APIs using Python.
• Collaborate on Machine Learning pipeline infrastructure.

Required Skills

• 10+ years of professional experience in DevOps engineering.
• Expertise in Terraform, Python, Docker, and Kubernetes.
• Strong proficiency with AWS services (S3, EC2, Route 53).
• Hands-on experience with CI/CD pipelines.
• Experience deploying and managing workloads on EKS.

Key Skills

Education

Any Graduate