Senior Kubernetes DevOps Engineer | AI Infra & Open Source

Mirantis

San Jose (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation package
Professional development and training
Company outings and hackathons

Job summary

Mirantis is seeking a skilled Kubernetes DevOps Engineer to drive custom integration across their k0rdent-ai platform. You will work closely with engineering teams to design scalable AI infrastructure on Kubernetes.

Your role includes building automation pipelines, providing operational support, and collaborating with development teams to optimize application deployment across hybrid cloud architectures. Strong Kubernetes expertise and experience with complex production software are essential.

Join us to be part of the cutting-edge innovation in AI infrastructure!

Qualifications

  • Strong Kubernetes expertise as a user and operator.
  • Experience in debugging, diagnosing, and troubleshooting complex production software.
  • Knowledge of system architecture, scalability, reliability, and performance.

Responsibilities

  • Design, implement, and document Kubernetes hardened integrations.
  • Build automation pipelines for infrastructure provisioning.
  • Provide operational support by diagnosing system issues.
  • Collaborate with development teams for application deployment.
  • Work with core cloud-native technologies and AI frameworks.

Skills

Kubernetes expertise
Linux experience
Networking knowledge
Microservice architecture
Debugging and troubleshooting

Education

University/master degree in Mathematics, Electronics, Telecommunications, or Software Engineering

Tools

OpenStack (familiarity with APIs)

Job description

Mirantis is seeking a skilled Kubernetes DevOps Engineer to drive custom integration across their k0rdent-ai platform. You will work closely with engineering teams to design scalable AI infrastructure on Kubernetes.

Your role includes building automation pipelines, providing operational support, and collaborating with development teams to optimize application deployment across hybrid cloud architectures. Strong Kubernetes expertise and experience with complex production software are essential.

Join us to be part of the cutting-edge innovation in AI infrastructure!

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