Lead DevOps & MLOps Engineer – Data Platform Deployments

EPAM Systems; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems is seeking a Lead DevOps/MLOps Engineer to assess client infrastructure for deploying an Enterprise Data Platform. You will evaluate existing systems, identify gaps, and prepare scalable deployment strategies for data components.

You will collaborate with data engineering and DevOps teams to automate deployments on Kubernetes and ensure reliable ML workloads. Required: 5+ years in DevOps/MLOps, Docker, Kubernetes, Linux, CI/CD, Argo, Python, and strong English (B2+).

Qualifications

• 5+ years of DevOps/MLOps experience in data engineering environments.
• Experience assessing client infrastructure for data platform deployments.
• Familiarity with EDP components and deployment requirements.
• Ability to analyze complex environments and plan integration.

Responsibilities

• Assess client infrastructure for EDP rollout feasibility.
• Identify gaps and remediation actions.
• Collaborate with data engineering and DevOps teams.
• Develop deployment automation scripts and tools.
• Coordinate with vendors for compatibility and support.
• Monitor performance and optimize deployments.
• Support continuous improvement of deployment processes.
• Deploy workloads on Kubernetes.

Skills

DevOps

MLOps

Kubernetes

Docker

Linux

CI/CD

Argo

Python

Production ML

English B2+

Tools

MLflow

Airflow

ArgoCD

Job description

EPAM Systems is seeking a Lead DevOps/MLOps Engineer to assess client infrastructure for deploying an Enterprise Data Platform. You will evaluate existing systems, identify gaps, and prepare scalable deployment strategies for data components.

You will collaborate with data engineering and DevOps teams to automate deployments on Kubernetes and ensure reliable ML workloads. Required: 5+ years in DevOps/MLOps, Docker, Kubernetes, Linux, CI/CD, Argo, Python, and strong English (B2+).