Staff DevOps Engineer

People in AI; San Diego (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

People in AI is hiring a Staff DevOps Engineer to join an AI Enablement team in a global software environment. You will own infrastructure behind internal AI platforms, tooling, and developer workflows used across the engineering org.

You’ll build cloud infrastructure in AWS, craft Terraform IaC, drive Kubernetes adoption, and construct GitHub Actions/CI/CD workflows to productionize AI tools and platforms at scale.

Qualifications

• Hands-on DevOps, SRE or Platform Engineering experience.
• AWS, Terraform and Kubernetes expertise.
• Strong GitHub Actions and CI/CD experience.
• Python and/or Bash scripting skills.
• Experience with observability tooling.
• Experience in small, highly accountable engineering teams.
• Interest in AI-assisted engineering and developer tooling.

Responsibilities

• Build and manage cloud infrastructure in AWS.
• Develop infrastructure-as-code with Terraform.
• Help drive adoption of Kubernetes.
• Build and maintain GitHub Actions and CI/CD workflows.
• Productionize and scale internal AI tools and platforms.
• Improve monitoring, observability, deployment and automation practices.
• Create DevOps standards across engineering teams.
• Automate workflows using Python and Bash.

Skills

DevOps/SRE/Platform

Tools

Terraform

AWS

Kubernetes

GitHub Actions

ECS

OpenSearch/Elasticsearch

Dynatrace

Job description

We are working with a well-known global enterprise software business that is looking to hire a Staff DevOps Engineer into its dedicated AI Enablement team.

This is a hands-on, high-impact role focused on building and scaling the infrastructure behind internal AI platforms, tooling, and developer workflows used across the wider engineering organization.

What You’ll Do

• Build and manage cloud infrastructure in AWS
• Develop infrastructure-as-code with Terraform
• Help drive adoption of Kubernetes
• Build and maintain GitHub Actions and CI/CD workflows
• Productionize and scale internal AI tools and platforms
• Improve monitoring, observability, deployment, and automation practices
• Create DevOps standards that can be adopted across engineering teams
• Automate workflows using Python and Bash

What You’ll Bring

• Strong DevOps, SRE, or Platform Engineering experience
• AWS, Terraform, and Kubernetes expertise
• Strong GitHub Actions and CI/CD experience
• Python and/or Bash scripting skills
• Experience with observability tooling
• Experience working in small, highly accountable engineering teams
• Interest in AI-assisted engineering and developer tooling
• AWS
• Terraform
• GitHub Actions
• Python
• Bash
• ECS
• OpenSearch / Elasticsearch
• Dynatrace

Why Join?

You’ll join a specialist AI Enablement team building infrastructure and tooling used across a global engineering organization.

The role offers significant ownership, visibility, and the opportunity to shape how modern DevOps and AI engineering practices are adopted at scale.