Senior Platform Engineer (Kubernetes / DevOps)

Vietnam

IT

Full-time

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About the Role

We are looking for a Senior Platform Engineer to design and build scalable, cloud-native infrastructure that empowers engineering teams to deploy and operate services efficiently.

You will play a key role in architecting internal “as-a-service” platforms using open-source technologies, driving automation, and supporting large-scale distributed systems in an enterprise environment.

This is a highly collaborative role focused on enabling teams and improving system reliability, performance, and developer experience.


What You’ll Do

  • Architect and build internal platform services based on open-source technologies

  • Design and improve deployment, automation, and monitoring systems for large-scale distributed environments

  • Develop automation tools and APIs using Python

  • Implement Infrastructure as Code (IaC) using Terraform, Ansible, and Helm

  • Manage and optimize container orchestration platforms (primarily Kubernetes)

  • Enhance observability through monitoring and logging tools (Prometheus, Grafana, OpenTelemetry)

  • Support CI/CD pipelines (GitLab preferred)

  • Collaborate cross-functionally to drive DevOps and Agile transformation initiatives

  • Participate in periodic on-call rotation


What You’ll Bring

  • Strong experience with Linux-based systems

  • Solid programming skills in Python (automation, APIs, operational tooling)

  • Strong hands-on experience with Kubernetes (K8s) in production environments

  • Experience with container technologies (Docker, Podman)

  • Proven experience with Infrastructure as Code (Terraform, Ansible, Helm)

  • Experience with modern authentication protocols (OIDC, SAML, Kerberos)

  • Familiarity with CI/CD practices and Git-based workflows

  • Strong background in observability and monitoring systems

  • Experience working in Agile environments

  • Strong English communication skills

Nice to Have:

  • Experience with Slurm or large-scale compute clusters

  • Experience leveraging AI/LLM-powered tools in development workflows

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