Senior DevOps Engineer: GitLab CI & Kubernetes (Remote)

Globant

Dubai

Hybrid

AED 331,000 - 477,000

Full time

14 days+

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Job summary

Globant seeks a Senior DevOps Engineer to own, optimize, and scale CI/CD pipelines for Python microservices across multi-cloud environments. You will design and maintain production-grade GitLab CI pipelines, Dockerfiles, and Helm charts, collaborating with cloud infra teams to ensure fast, reliable releases.

There is a strong emphasis on Python tooling, pytest-based testing, and advanced scripting in Python and Bash.

Qualifications

  • Location required: based in Egypt or Jordan; remote or hybrid depending on location.
  • 5–9 years of dedicated DevOps, Cloud Engineering, or Build/Release Automation experience.
  • Deep, senior-level GitLab CI YAML mastery, runner configurations, caching, and pipeline optimization.
  • Production-grade Helm charts development and multi-stage Dockerfile optimization.
  • Strong Python ecosystem knowledge: virtual environments, poetry/pip, pytest.
  • Kubernetes architecture understanding and familiarity with Azure/AWS.
  • Advanced scripting in Python and Bash for deployment tooling.
  • Fluent technical English communication (written and spoken).

Responsibilities

  • Design, build, and optimize GitLab CI pipelines for Python microservices and tests.
  • Write and maintain Dockerfiles and Helm charts for deployments to Kubernetes clusters.
  • Integrate Python test runners and linting into CI stages.
  • Develop Python utilities to overcome runner network restrictions.
  • Collaborate with Azure/AWS infra teams and software leads on deployments.
  • Mentor mid-level engineers and improve deployment processes and caching.

Skills

GitLab CI Mastery
Docker & Helm
Python Proficiency
Kubernetes & Cloud
Bash Scripting
Troubleshooting
Communication
CI/CD Pipelines

Tools

GitLab CI
Docker
Helm
pytest
Azure
AWS
ArgoCD

Job description

Globant seeks a Senior DevOps Engineer to own, optimize, and scale CI/CD pipelines for Python microservices across multi-cloud environments. You will design and maintain production-grade GitLab CI pipelines, Dockerfiles, and Helm charts, collaborating with cloud infra teams to ensure fast, reliable releases.

There is a strong emphasis on Python tooling, pytest-based testing, and advanced scripting in Python and Bash.

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