Job description

We are hiring a Staff DevOps Engineer for the AI Factory product team, responsible for architecting, scaling, and standardizing the cloud and platform foundations that power AI-driven products and internal platforms.

This is a senior individual contributor role with org-level technical influence. The Staff DevOps Engineer operates beyond a single product or squad, shaping platform strategy, reliability standards, CI/CD foundations, and cloud cost governance across the AI Factory. The role is hands-on where it matters most, while also acting as a technical authority and escalation point for complex infrastructure, deployment, and reliability challenges.

Key Responsibilities

• Architect and evolve cloud-native platform foundations supporting AI Factory products and internal platforms

• Define and enforce DevOps standards across environments: CI/CD, deployment patterns, observability, security, and cost controls

• Design scalable infrastructure patterns for multi-service, multi-environment systems

• Act as the final escalation point for complex infrastructure and reliability issue

• Own architecture and best practices across AWS / GCP / Azure (multi-cloud exposure)

• Design highly available, secure, and cost-efficient infrastructure

• Drive reliability engineering practices: SLOs, SLIs, incident response, post-mortems, and resilience planning.

• Identify systemic risks early (capacity, cost, security, scaling) and address them proactively

• Architect and standardize CI/CD pipelines (GitLab CI, GitHub Actions, Azure DevOps)

• Enable safe, repeatable deployments across products and teams

• Improve developer experience by reducing friction in build, test, and deployment workflows.

• Support release strategies such as blue-green, canary, and rollback mechanisms

• Stay hands-on with critical infrastructure code, platform refactors, and high-impact improvements

• Review infrastructure designs and pipeline changes for correctness, simplicity, and long-term sustainability

• Build foundational tooling that enables multiple teams to move faster and safer

• Partner closely with Engineering Managers, Tech Leads, and Product teams to align platform capabilities with delivery needs

• Mentor senior DevOps and Platform engineers through reviews, architecture discussions, and coaching

• Act as a multiplier, improving outcomes across teams without direct people management