Lead Gcp Devops Engineer

Epam Systems

Ciudad de Mendoza

Hybrid

ARS 136,310,000 - 227,183,000

Full time

3 days ago
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Benefits offered by this job

Flexible schedule
Remote & office options
Mentorship & Tech Talks
Fortune 500 projects

Job summary

Epam Systems in Argentina seeks an Infrastructure / DevOps Engineer to own cloud infrastructure, deployment automation, and system reliability, focusing on cloud-agnostic portability, Kubernetes administration, IaC, and automated CI/CD workflows.

The role requires hands-on experience with Kubernetes (GKE), Terraform, GitHub Actions, GHCR, and IAM like Keycloak, plus multi-cloud familiarity and strong security practices.

Qualifications

  • Advanced hands-on experience managing production Kubernetes environments.
  • Strong proficiency with Terraform, Helm, and IaC methodologies.
  • Deep experience designing and maintaining deployment pipelines using GitHub Actions.

Responsibilities

  • Deploy, manage, and scale workloads on Kubernetes (GKE).
  • Build modular, cloud-agnostic infrastructure with Terraform across GCP, other clouds, and on-premise.
  • Design and maintain reusable GitHub Actions workflows for CI/CD pipelines.

Skills

Kubernetes
Terraform
GitHub Actions
Multi-cloud
Keycloak IAM
OIDC
CI/CD

Tools

GHCR
ArgoCD
Flux
Helm
Kustomize

Job description

The Role: We are looking for an Infrastructure / DevOps Engineer to join our Cloud Platform Engineering Team.

In this role, you will own cloud infrastructure, deployment automation, and system reliability, with a strong focus on cloud-agnostic portability, Kubernetes administration, Infrastructure as Code, and automated CI/CD workflows.

We are looking for someone with strong hands‑on experience in Kubernetes, Terraform, GitHub Actions, multi‑cloud environments, and IAM solutions such as Keycloak.

Responsibilities:

  • Kubernetes Administration: Deploy, manage, scale, and troubleshoot workloads on Kubernetes, initially using Google Kubernetes Engine (GKE), with Helm and Kustomize.
  • Infrastructure as Code: Build modular and cloud‑agnostic infrastructure using Terraform, enabling consistent deployments across GCP, other public clouds, and on‑premise environments.
  • CI/CD Pipeline Ownership: Design, maintain, and optimize reusable GitHub Actions workflows for automated testing, containerization, and deployment.
  • Manage container images and deployment workflows using GitHub Container Registry (GHCR).
  • IAM & Platform Deployment: Deploy, operate, and scale highly available Keycloak clusters.
  • Configure GitHub Workload Identity Federation (OIDC) to provide GitHub Actions with secure, keyless access to GCP resources.
  • Implement and maintain secure secrets management practices.
  • Collaborate with technical leadership to evaluate and improve deployment strategies, including traditional CI/CD and GitOps approaches using tools such as ArgoCD or Flux.
  • Contribute to the reliability, scalability, security, and portability of the overall cloud platform.

Requirements:

  • Advanced hands‑on experience managing production Kubernetes environments, including container networking.
  • Strong proficiency with Terraform, Helm, and Infrastructure as Code (IaC) methodologies.
  • Deep experience designing and maintaining deployment pipelines using GitHub Actions.
  • Experience working with GitHub Container Registry (GHCR).
  • Experience deploying and maintaining production Keycloak/IAM environments.
  • Strong understanding of OIDC, identity management, authentication, and authorization concepts.
  • Experience with secrets management and cloud security best practices.
  • Experience working with GCP/GKE and an understanding of multi‑cloud or cloud‑agnostic infrastructure approaches.
  • Strong understanding of containerized environments, deployment automation, and system reliability.

Core Tech Stack

  • Kubernetes (GKE)
  • Terraform
  • Helm
  • Kustomize
  • GitHub Actions
  • GHCR
  • GCP
  • Multi‑Cloud
  • Keycloak
  • OIDC
  • IaC
  • ArgoCD / Flux

AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment.

MUST HAVES

  • 4+ years of professional DevOps, SRE, or platform‑engineering experience operating production services.
  • 3+ years of hands‑on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
  • Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, ArgoCD, or Flux).
  • Strong scripting skills in Python, Bash, or Go; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure, or GCP).
  • Hands‑on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
  • Solid understanding of cloud security and compliance practices, particularly in PCI‑compliant or regulated environments.
  • Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on‑call rotations.
  • Strong written and verbal communication skills; able to work effectively with both technical and non‑technical stakeholders.

NICE TO HAVES

  • Experience operating Dataiku DSS, Snowflake, or other large‑scale data and analytics platforms in production.
  • Experience with service meshes (Istio, Linkerd), API gateways, and zero‑trust networking.
  • Experience with policy‑as‑code (OPA / Rego, Checkov, tfsec) and supply‑chain security (SBOM, Sigstore).
  • Experience with FinOps practices and cloud cost optimization.
  • Experience supporting ML or LLM workloads — GPU scheduling, model‑serving infrastructure, vector databases, or LangSmith / Langfuse.
  • Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
  • Experience in loyalty, martech, adtech, or a comparable data‑rich B2B domain.

WHAT YOU WILL DO

  • Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in Data & AI teams.
  • Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure, or GCP.
  • Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — build, test, security scanning, blue‑green or canary deploys, and automated rollback.
  • Operate Kubernetes clusters (EKS, AKS, or GKE) and container workloads with LENS, Helm, ArgoCD, or Flux — including autoscaling, ingress, secrets, and policy.
  • Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog — metrics, logs, traces, dashboards, and SLO‑driven alerting.
  • Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy‑as‑code (OPA, Checkov), and PCI‑aware patterns.
  • Lead incident response — on‑call, runbooks, blameless post‑mortems, and continuous reliability work to drive down MTTR and toil.
  • Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self‑service.
  • Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
  • Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.

PERKS AND BENEFITS

  • Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation : USD‑based pay with education, fitness, and team activity budgets.
  • Exciting projects : Modern solutions with Fortune 500 and top product companies.
  • Flextime : Flexible schedule with remote and office options.
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