[Remote] Senior Data DevOps, GCP
Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a proactive and detail-oriented Senior Data DevOps Engineer with strong experience in cloud infrastructure and automation, particularly within Google Cloud Platform (GCP). The ideal candidate will design, implement, and manage cloud infrastructure using Infrastructure as Code principles, while collaborating with engineering and product teams to ensure reliable and scalable platform operations.ResponsibilitiesDesign, implement and manage cloud infrastructure on GCP using Infrastructure as Code (IaC) principlesDevelopment and maintenance of Terraform modules for environment provisioning and standardizationUse of Ansible for configuration management and system automationBuild, optimize and maintain CI/CD pipelines using Jenkins to support efficient software deliveryManagement and security of GCP services, including IAM roles, networking configurations and access controlsAdministration of BigQuery environments, ensuring performance, cost optimization and data governanceManagement of Google Cloud Storage (GCS) buckets, including lifecycle policies, access control and security best practicesDeployment and operation of data processing workloads using GCP Dataproc (Spark jobs)Collaboration with engineering, data and product teams to support reliable and scalable platform operationsMonitor system performance, troubleshoot issues and implement improvements to enhance reliability and efficiencyContribution to best practices, documentation and continuous improvement of DevOps processesSkills4+ years of experience in DevOps, Cloud Engineering or related rolesExpertise in Terraform for infrastructure provisioning and Ansible for configuration management and automationProficiency in building and maintaining CI/CD pipelines using JenkinsSolid experience with Google Cloud Platform (GCP), including IAM and networkingBackground in administering BigQuery and managing large-scale data environmentsSkills in GCS bucket management, including lifecycle and security configurationsFamiliarity with GCP Dataproc and Spark job deployment/operationsUnderstanding of cloud security, scalability and reliability principlesGood problem-solving skills and ability to work independently under general directionStrong communication and collaboration skillsEnglish proficiency at B2 level or higherExperience with Looker or similar BI/reporting toolsExposure to data engineering workflows or analytics platformsBenefitsDelivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsLeadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to LinkedIn Learning and UdemyFree English classes with certified teachersParticipation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programComprehensive medical & family care packageFive trust days per year (sick leave without a medical certificate)Benefits package (sports activities, a variety of stores and services)Company OverviewEPAM leverages its core engineering expertise as a leading global product development and digital platform engineering services company. It was founded in 1993, and is headquartered in Newtown, Pennsylvania, USA, with a workforce of 10001+ employees. Its website is https://www.epam.com.Company H1B SponsorshipEPAM Systems has a track record of offering H1B sponsorships, with 11 in 2026, 120 in 2025, 172 in 2024, 232 in 2023, 373 in 2022, 359 in 2021, 502 in 2020. Please note that this does not guarantee sponsorship for this specific role.