Senior DevOps Engineer

People in AI; San Diego (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

People in AI is seeking a Senior DevOps Engineer to join its AI Enablement team in San Diego. You will build and scale infrastructure behind internal AI platforms, tooling, and developer workflows across the engineering org.

The role emphasizes hands-on ownership, high impact, and opportunities to shape DevOps and AI engineering practices at scale within a global enterprise context.

Qualifications

• Hands-on DevOps/SRE/Platform engineering role.
• Cloud infrastructure on AWS with IaC (Terraform).
• Experience with Kubernetes, CI/CD, and GitHub Actions.
• Scripting in Python or Bash.
• Observability tooling experience.
• Ability to work in small, accountable engineering teams.
• Interest in AI-assisted engineering.
• Familiarity with ECS, OpenSearch/Elasticsearch, Dynatrace.

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 that can be adopted across engineering teams.
• Automate workflows using Python and Bash.

Skills

DevOps experience

SRE experience

Platform engineering

AWS

Terraform

Kubernetes

GitHub Actions

CI/CD

Python

Bash

Observability tooling

Small teams

AI interest

Tools

ECS

OpenSearch

Elasticsearch

Dynatrace

Job description

We are working with a well-known global enterprise software business that is looking to hire a Senior 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.