EPAM Systems logo
EPAM Systems
Posted 41 days agoVerified live 1d ago

Cloud Engineer

Brief overview

Remote
2+ yrsMinimum
526 H-1B approvalsDept. of Labor
520 green cardsCertified filings
Google Cloud Platform (GCP)Infrastructure as Code (IaC)TerraformLinux AdministrationCloud MonitoringIncident ManagementCloud GovernanceContainerizationGoogle Kubernetes Engine (GKE)DockerCloud Cost Management

About the company

EPAM Systems logo
EPAM Systemsepam.com

EPAM leverages its core engineering expertise as a leading global product development and digital platform engineering services company.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
526H-1B approved
99%approval rate
140new H-1B hires
520PERM certified
$115,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023195
2024183
2025120
202628
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202374
202445
202523
202611
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
2023106
2024179
2025193
202642
Top sponsored roles
Senior Software EngineerSENIOR SOFTWARE ENGINEERLead Software EngineerLEAD SOFTWARE ENGINEERSenior Systems Engineer
Sponsored employees from
IndiaBelarusUkraineRussiaKazakhstan

Job description

Summary

EPAM Systems is seeking a Cloud Engineer to design, deploy, and manage secure, resilient, and scalable Google Cloud infrastructure. The role focuses on Infrastructure as Code automation, Linux administration, monitoring, incident response, governance, capacity planning, performance tuning, and cross-team collaboration.

Responsibilities

  • Architect and implement cloud-based infrastructure capable of supporting secure, resilient, and scalable business systems
  • Develop and sustain automated solutions that simplify provisioning workflows and cut down on manual effort
  • Track system performance and health indicators, catching and addressing problems proactively before they affect end users
  • Work alongside diverse teams to ensure infrastructure choices support wider organizational and technical objectives
  • Contribute to incident handling processes, covering everything from initial diagnosis to resolution and post-incident review
  • Help establish and enforce governance policies that apply consistently across cloud platforms
  • Take part in capacity forecasting and system tuning efforts to guarantee smooth scaling as demand grows
  • Produce clear documentation covering infrastructure blueprints, workflows, and operational guidelines to facilitate knowledge sharing

Skills

  • At least 2 years of applicable experience working with Google Cloud Platform (GCP), including strong capabilities in provisioning, automation, and infrastructure oversight
  • Deep expertise with Infrastructure as Code (IaC) tooling, such as Terraform, plus a track record of creating reusable automation frameworks
  • Solid skills in cloud-based monitoring, resolving incidents, and fine-tuning system performance
  • Comprehensive knowledge of governance practices, including access management, tagging conventions, regulatory compliance, and backup/recovery planning
  • Background working with containerized platforms, such as GKE and Docker, along with routine patch management
  • Dependable Linux administration expertise, covering system setup, ongoing maintenance, and issue resolution to keep infrastructure running smoothly
  • Sharp system analysis capabilities, with skill in assessing infrastructure output and spotting opportunities for improvement or risk reduction
  • Strong ability to lead and work collaboratively, including mentoring less experienced colleagues and facilitating communication across teams
  • Working knowledge of cost management strategies for cloud platforms, including reviewing and acting on usage patterns
  • Excellent English communication skills (B2 level or higher)
  • Background using Dagster to coordinate and supervise data pipeline operations
  • Exposure to Kubernetes for managing and deploying containerized workloads
  • Capability with Pandas for performing data analysis and manipulation tasks
  • Background with ReactJS for creating front-end elements that connect to backend infrastructure
  • Working knowledge of TypeScript for building type-safe applications across the front end or full stack
  • Experience with dbt for modeling and transforming data within analytical pipelines
  • Domain knowledge in finance, particularly within Payments or Treasury, to add valuable context to technical work

Qualifications

Must Haves

  • At least 2 years of applicable experience working with Google Cloud Platform (GCP), including strong capabilities in provisioning, automation, and infrastructure oversight
  • Deep expertise with Infrastructure as Code (IaC) tooling, such as Terraform, plus a track record of creating reusable automation frameworks
  • Solid skills in cloud-based monitoring, resolving incidents, and fine-tuning system performance
  • Comprehensive knowledge of governance practices, including access management, tagging conventions, regulatory compliance, and backup/recovery planning
  • Background working with containerized platforms, such as GKE and Docker, along with routine patch management
  • Dependable Linux administration expertise, covering system setup, ongoing maintenance, and issue resolution to keep infrastructure running smoothly
  • Sharp system analysis capabilities, with skill in assessing infrastructure output and spotting opportunities for improvement or risk reduction
  • Strong ability to lead and work collaboratively, including mentoring less experienced colleagues and facilitating communication across teams
  • Working knowledge of cost management strategies for cloud platforms, including reviewing and acting on usage patterns
  • Excellent English communication skills (B2 level or higher)

Nice to Haves

  • Background using Dagster to coordinate and supervise data pipeline operations
  • Exposure to Kubernetes for managing and deploying containerized workloads
  • Capability with Pandas for performing data analysis and manipulation tasks
  • Background with ReactJS for creating front-end elements that connect to backend infrastructure
  • Working knowledge of TypeScript for building type-safe applications across the front end or full stack
  • Experience with dbt for modeling and transforming data within analytical pipelines
  • Domain knowledge in finance, particularly within Payments or Treasury, to add valuable context to technical work

Benefits

  • 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

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