DevOps Engineer — Kubernetes, Multi-Cloud & On-Prem

Arize

San Francisco (CA)

Remote

USD 150,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Medical
Dental
Vision
401(k)
Unlimited PTO
Parental leave
WFH stipend

Job summary

Arize AI is a remote-first company delivering AI observability and evaluation platform solutions. We seek an experienced DevOps/Infrastructure Engineer to support distributed services, with Kubernetes expertise and multi-cloud experience across AWS, GCP, and Azure.

The role involves both SaaS and on-prem deployments and a focus on automation and reliability. You will partner with customers and internal teams, optimize release pipelines, and contribute to scalable infrastructure in a fast-paced

Qualifications

  • 3+ years of experience as a DevOps/Infrastructure Engineer or similar.
  • Excellent communication and ability to work directly with customers to understand infrastructure needs.
  • Experience and fluency in Kubernetes.
  • A self-starter able to thrive in a fast-paced environment.
  • Experience with multiple cloud providers (AWS, GCP, Azure) and on-prem deployments.

Responsibilities

  • Work hands-on with the infrastructure that supports distributed, scalable services in SaaS and on-prem offerings.
  • Gather requirements from customers and adapt manifests and software for new environments.
  • Use and augment monitoring tools to observe platform health, performance, and reliability.
  • Automate and optimize the release pipeline to reduce friction.
  • Collaborate with product teams to test features and package on-prem releases.

Skills

DevOps
Cloud Engineer
Kubernetes
Customer facing
Self starter
Multi-cloud

Job description

Arize AI is a remote-first company delivering AI observability and evaluation platform solutions. We seek an experienced DevOps/Infrastructure Engineer to support distributed services, with Kubernetes expertise and multi-cloud experience across AWS, GCP, and Azure.

The role involves both SaaS and on-prem deployments and a focus on automation and reliability. You will partner with customers and internal teams, optimize release pipelines, and contribute to scalable infrastructure in a fast-paced

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