Kubernetes Platform Engineer On-Call & Automation

MTU

Tajęcina

On-site

PLN 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Annual bonus scheme
Private medical care
Training & development
Company events & sports clubs

Job summary

MTU is seeking a Kubernetes Platform Operations Engineer to maintain the availability and stability of our container platform in Poland. You will perform day-to-day tasks, monitor health, investigate alerts, and troubleshoot clusters and workloads.

You will collaborate with platform engineers to automate tasks using Helm, Git, and CI/CD, provide on-call support, and help application teams deploy and operate workloads.

Qualifications

  • Hands-on experience with Kubernetes.
  • Proficiency with Linux command-line tools and basic system administration.
  • Familiarity with containerization technologies and Git/CI-CD concepts.

Responsibilities

  • Perform day-to-day operational tasks to maintain the availability and stability of the Kubernetes platform.
  • Monitor platform health, investigate alerts, and troubleshoot issues affecting clusters and containerized workloads.
  • Deploy, configure, and update platform components using Helm and standard procedures.
  • Maintain operational documentation and runbooks.
  • Collaborate with platform engineers to improve processes and automate repetitive tasks.
  • Handle on-call duty and support application teams with deployments and troubleshooting.

Skills

Kubernetes
Linux command-line
containerization
Git & CI/CD
English documentation
analytical thinking
initiative & teamwork

Tools

Helm
Bash/Python scripting

Job description

MTU is seeking a Kubernetes Platform Operations Engineer to maintain the availability and stability of our container platform in Poland. You will perform day-to-day tasks, monitor health, investigate alerts, and troubleshoot clusters and workloads.

You will collaborate with platform engineers to automate tasks using Helm, Git, and CI/CD, provide on-call support, and help application teams deploy and operate workloads.

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