Overview

We are seeking a Senior DevOps Engineer to automate and operate secure, scalable Google Cloud Platform environments with strong ownership. You will standardize infrastructure with Terraform and Ansible, run CI/CD with Jenkins, and support BigQuery, GCS, and Dataproc (Spark) operations while partnering across teams to improve reliability and efficiency—apply now.

Responsibilities

  • Design, implement, and manage GCP cloud infrastructure using Infrastructure as Code (IaC) practices
  • Create and maintain Terraform modules to provision and standardize environments
  • Automate configuration and system tasks using Ansible
  • Build, tune, and maintain Jenkins CI/CD pipelines to enable efficient software delivery
  • Secure and manage GCP services, including IAM roles, networking settings, and access controls
  • Administer BigQuery environments with focus on performance, cost optimization, and data governance
  • Maintain GCS buckets by applying lifecycle policies, access control, and security best practices
  • Deploy and operate data processing workloads on GCP Dataproc, including Spark jobs
  • Collaborate with engineering, data, and product teams to keep platform operations reliable and scalable
  • Monitor performance, troubleshoot incidents, and implement changes that improve reliability and efficiency
  • Contribute to DevOps best practices, documentation, and continuous process improvement

Requirements

  • Hands-on experience of 3+ years in DevOps, Cloud Engineering, or related roles
  • Proficiency with Terraform for infrastructure provisioning and Ansible for configuration management and automation
  • Solid background in building and maintaining CI/CD pipelines using Jenkins
  • Deep understanding of Google Cloud Platform (GCP), including IAM and networking
  • Practical skills in administering BigQuery and managing large-scale data environments
  • Working knowledge of GCS bucket management, including lifecycle and security configurations
  • Competency with GCP Dataproc and Spark job deployment/operations
  • Strong grasp of cloud security, scalability, and reliability principles
  • Proven ability to solve problems and work independently under general direction
  • Effective communication and collaboration skills
  • English proficiency at B2 level or higher

Nice to have

  • Familiarity with Looker or similar BI/reporting tools
  • Exposure to data engineering workflows or analytics platforms

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn