Senior GCP DevOps Engineer – Data & AI Platform

Epam Systems; Buenos Aires; Hybrid; ARS 90.873.000 - 181.747.000; Vollzeit

Benefits dieser Stelle

Professional growth

USD-based compensation

Exciting projects

Flextime

Zusammenfassung

AgileEngine is seeking a seasoned DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data & AI teams in a PCI‑compliant environment. You will own pipelines, manage Kubernetes clusters, and implement robust security practices while ensuring scalable, reliable deployments across multiple cloud platforms.

The role emphasizes on‑call readiness, cross‑team collaboration, and driving reliability improvements.

Qualifikationen

• 4+ years DevOps, SRE, or platform-engineering experience operating production services.
• 3+ years building CI/CD pipelines and IaC ( Terraform, Pulumi, CloudFormation ).
• Knowledge of Kubernetes (EKS, AKS, GKE) and container tooling (Docker, Helm, ArgoCD, Flux).
• Scripting in Python, Bash, or Go; strong SQL and cloud platform experience (AWS, Azure, or GCP).
• Observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, Datadog.
• Cloud security and PCI-compliance understanding.
• Ability to work independently and in a team; manage priorities across time zones; on-call.
• Strong written and verbal communication with both technical and non-technical stakeholders.

Aufgaben

• 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) for AWS/Azure/GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI with automated rollback.
• Operate Kubernetes clusters (EKS, AKS, GKE) and container workloads with Helm/ArgoCD/Flux.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Implement security and compliance controls: IAM, SSO, secrets management, vulnerability scanning, policy-as-code (OPA) and PCI-aware patterns.
• Lead incident response – on-call, runbooks, blameless post-mortems, and reliability improvements.
• Collaborate with developers on dev experience, internal tooling, and self-service.
• Influence internal platform standards; participate in design reviews with global teams.
• Work with developers, AI engineers, QA, DBAs, and product partners across environments.

Kenntnisse

4+ years DevOps experience

CI/CD pipelines

Kubernetes

Scripting: Python/Bash/Go

Observability stacks

Cloud security & PCI

On-call & priorities

Communication

Tools

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

CircleCI

Docker

Helm

ArgoCD

Flux

Kubernetes

OpenTelemetry

Prometheus

Grafana

ELK

Datadog

Jobbeschreibung

AgileEngine is seeking a seasoned DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data & AI teams in a PCI‑compliant environment. You will own pipelines, manage Kubernetes clusters, and implement robust security practices while ensuring scalable, reliable deployments across multiple cloud platforms.

The role emphasizes on‑call readiness, cross‑team collaboration, and driving reliability improvements.