Remote DevOps Engineer – Cloud & On-Prem Platform

Remote; San Francisco (CA); Remote; USD 150,000 - 185,000; Full time

Benefits offered by this job

WFH monthly stipend

Healthcare benefits

401(k) plan

Unlimited PTO

Parental leave

Job summary

Arize AI, a leading AI observability platform, is hiring for a remote-first On-Prem Engineering role. You will maintain and scale distributed services, work directly with customers to tailor infrastructure, and improve release pipelines across SaaS and on-prem deployments.

Ideal candidates have 3+ years in DevOps/Cloud, strong Kubernetes skills, and experience with AWS, GCP, and Azure. The role offers a remote-first environment with optional NYC/SF offices and a competitive compensation package.

Qualifications

• 3+ years of experience in DevOps, Cloud, or infrastructure roles.
• Excellent communication skills and ability to work directly with customers to understand infrastructure needs.
• Experience and fluency in Kubernetes and multi-cloud environments.

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.
• Interact with product team to test features and package on-prem releases.
• Automate and optimize release pipelines to reduce friction.
• Stay curious about emerging technologies to solve challenges.

Skills

DevOps Engineer

Cloud Engineer

Infrastructure Engineer

Communication skills

Tools

Kubernetes

AWS

GCP

Azure

Job description

Arize AI, a leading AI observability platform, is hiring for a remote-first On-Prem Engineering role. You will maintain and scale distributed services, work directly with customers to tailor infrastructure, and improve release pipelines across SaaS and on-prem deployments.

Ideal candidates have 3+ years in DevOps/Cloud, strong Kubernetes skills, and experience with AWS, GCP, and Azure. The role offers a remote-first environment with optional NYC/SF offices and a competitive compensation package.