Lead DevOps Engineer: AI-Driven Automation & Reliability

EPAM Systems

México

Remote

MXN 900,000 - 1,300,000

Full time

4 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off and sick leave
LinkedIn Learning access
Global career opportunities

Job summary

EPAM Systems in Mexico is seeking a Lead DevOps Engineer to drive automation, observability, and reliability at scale. You will lead initiatives to automate recurring tasks, enhance CI/CD pipelines, and strengthen monitoring and runbooks.

You will collaborate with application teams, manage on-call rotations, and apply AI-assisted approaches to boost productivity while reducing toil. A proven leadership background is required.

Qualifications

  • 5+ years in DevOps or platform engineering roles.
  • Strong leadership and cross-team collaboration skills.
  • Experience with CI/CD, automation, and observability.
  • Working knowledge of .NET Framework/C# is not required; focus on tooling and deployments.
  • Hands-on with TeamCity, Kubernetes, Python, Linux, Windows, and databases.

Responsibilities

  • Transform recurring tasks into automated, observable processes.
  • Enhance CI/CD pipelines with automated gates and deployment steps.
  • Build monitoring, dashboards, alerts, logging, and health checks.
  • Participate in on-call rotations and incident triage with engineers.
  • Drive security, secret management, and dependency visibility.
  • Support containerization adoption and runbooks for cross-team ops.

Skills

Leadership
DevOps
Automation
Observability
CI/CD

Education

Bachelor's or Master's in CS

Tools

JetBrains TeamCity
Kubernetes
Python
Linux
Windows
MongoDB
PostgreSQL
GitHub Copilot

Job description

EPAM Systems in Mexico is seeking a Lead DevOps Engineer to drive automation, observability, and reliability at scale. You will lead initiatives to automate recurring tasks, enhance CI/CD pipelines, and strengthen monitoring and runbooks.

You will collaborate with application teams, manage on-call rotations, and apply AI-assisted approaches to boost productivity while reducing toil. A proven leadership background is required.

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