Lead DevOps for Enterprise Data Platform Deployments

EPAM Systems; United States; Remote; USD 120,000 - 210,000; Full time

Job summary

EPAM Systems seeks a proactive Lead DevOps/Consultant to assess a client’s infrastructure for an Enterprise Data Platform rollout, ensuring scalable, reliable deployments and smooth production readiness.

You will collaborate with data engineering and DevOps teams to design automation scripts, address integration challenges, and coordinate with third‑party vendors to deploy workloads on Kubernetes with excellence.

Qualifications

• 5+ years of DevOps or SRE experience in complex environments.
• Experience assessing infrastructure for data platform rollouts.
• Proficiency with Kubernetes-based deployments and CI/CD pipelines.
• Familiarity with EDP components and deployment requirements.
• Ability to analyze diverse client environments and identify integration challenges.
• Strong collaboration with data engineering teams and external vendors.
• Proficient in Docker, Kubernetes, Linux, and Python.
• English proficiency at B2 level or higher.

Responsibilities

• Assess client infrastructure for EDP rollout feasibility.
• Document gaps and remediation actions.
• Collaborate with data engineering and DevOps teams.
• Develop and maintain deployment automation scripts.
• Coordinate with third-party vendors for compatibility.
• Monitor performance and optimize deployments.
• Support continuous improvement of deployment standards.
• Deploy workloads on Kubernetes.

Skills

DevOps

Site Reliability Engineering

Data platform deployment

Python

CI/CD

Docker

Kubernetes

Linux

English (B2+)

Tools

Argo

MLflow

Airflow

Job description

EPAM Systems seeks a proactive Lead DevOps/Consultant to assess a client’s infrastructure for an Enterprise Data Platform rollout, ensuring scalable, reliable deployments and smooth production readiness.

You will collaborate with data engineering and DevOps teams to design automation scripts, address integration challenges, and coordinate with third‑party vendors to deploy workloads on Kubernetes with excellence.