Senior Infrastructure Engineer

EPAM Systems

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

EPAM Systems Inc. is seeking a Senior Infrastructure Engineer to design, implement, automate, and operate infrastructure across on‑prem data centers and Google Cloud Platform environments.

The role emphasizes hands‑on ops history and advancing to automation, IaC, and public cloud. You will set technical direction for infrastructure, mentor engineers, own scalable systems, and contribute to global operations.

Qualifications

  • 3+ years in infrastructure or systems engineering with production ownership.
  • Proficient in Linux (Red Hat/Debian) at scale.
  • Experience with Cisco networking, DNS, load balancing.
  • Strong automation with IaC tools such as Terraform, Ansible, Puppet.
  • Proficient in Python or similar for tooling.
  • Experience with GCP (Compute Engine, IAM, networking).
  • Excellent English communication.

Responsibilities

  • Design and operate large-scale, multi-data center infrastructure supporting international operations.
  • Lead automation of infrastructure deployment and configuration management.
  • Design and maintain traffic management, load balancing, and DNS systems at scale.
  • Build and operate monitoring and observability systems across both on‑prem and cloud environments.
  • Develop tooling to support distributed, auditable systems administration.
  • Write and maintain process, policy, and procedural documentation for the infrastructure organization.

Skills

Linux administration
Networking
Python automation
Cloud platforms
Infrastructure as Code
Leadership/mentoring

Tools

Terraform
Ansible
Puppet
Docker/Kubernetes
Git
Grafana/Prometheus

Job description

We are looking for a Senior Infrastructure Engineer to design, build, automate, and operate infrastructure across our on-prem data centers and GCP environments. This role suits an engineer who came up through hands‑on operations (racking hardware, running networks, bare metal OS installs, keeping systems online at 2am) and has since built deep expertise in automation, infrastructure as code, and public cloud. You'll set technical direction for infrastructure, mentor engineers, and own the systems that scale our global operations.

Responsibilities
  • Design and operate large-scale, multi data center infrastructure supporting international operations, spanning on‑prem hardware, GCP, and AWS.
  • Lead the automation of infrastructure deployment and configuration management, driving migration from legacy tooling to modern Infrastructure as Code solutions such as Terraform, Puppet, and Ansible.
  • Design and maintain traffic management, load balancing, and DNS systems at scale.
  • Build and operate monitoring and observability systems across both on‑prem and cloud environments.
  • Develop tooling to support distributed, auditable systems administration.
  • Write and maintain process, policy, and procedural documentation for the infrastructure organization.
Requirements
  • A minimum of 3 years of relevant experience in infrastructure or systems engineering, including direct operational ownership of production systems.
  • Experience with all aspects of remote management of physical hardware infrastructure colocated at hosting facilities.
  • Deep Linux systems administration experience, such as RedHat or Debian, at scale.
  • Hands‑on experience with core networking, including Cisco hardware, DNS, load balancing, and traffic management.
  • Experience with enterprise storage and backup systems.
  • Proven track record automating infrastructure using tools such as Ansible, Puppet, or similar technologies.
  • Proficiency in Python or a similar language for infrastructure tooling and automation.
  • Production experience with GCP, including Compute Engine, networking, storage, and IAM.
  • Demonstrated ability to lead infrastructure projects and mentor other engineers.
  • Excellent English proficiency (B2 level or higher).
  • Nice to have Experience migrating on‑prem workloads to public cloud
  • Experience with distributed monitoring and logging stacks, such as Grafana or Prometheus.
  • Experience with container orchestration, such as Kubernetes or GKE.
  • Experience mentoring and leading junior engineers.
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