Staff Software Engineer - Infrastructure

The role

This person will build and run infrastructure for AI products, including cloud and Kubernetes platforms, pipelines, and observability. They will also design and ship AI agents for infrastructure and engineering workflows.

What you will do

• Build reliable infrastructure at scale including cloud, Kubernetes, networking, compute, storage, and distributed systems.
• Design for failure by identifying bottlenecks and operational risks.
• Improve CI/CD, testing, rollout strategies, and deployment controls.
• Develop monitoring, alerting, tracing, and operational tooling.
• Improve infrastructure efficiency, performance, reliability, and cloud cost.
• Design and ship AI agents that use tools and APIs to execute workflows or automate work.
• Build evaluation, permissions, guardrails, observability, and failure handling for agents.
• Mentor engineers through architecture reviews, code reviews, technical discussions, and postmortems.
• Join the on-call rotation and respond to production incidents.

Required qualifications

• Shipped agentic systems that perform meaningful work and understand tools, state, workflows, evaluation, and guardrails.
• Strong infrastructure fundamentals in distributed systems, cloud infrastructure, Kubernetes, networking, and production operations.
• Experience taking infrastructure from early stages to meaningful production scale.
• Ability to debug across layers from application behaviour to Kubernetes, networking, and cloud infrastructure.
• Ability to build platforms other engineers build on such as package registries, artifact stores, CI systems or internal developer platforms.
• Ability to write design docs and reviews.

Nice to have

• Experience with multi-tenant SaaS
• Experience with distributed systems
• Experience with infrastructure automation
• Experience with production-grade AI agents
• Experience with agent orchestration, tool use, evaluation, memory/state, or agent reliability

Benefits

• Strong base salary
• Performance-based variable pay
• Impact-driven equity (for most roles)
• Health, dental, vision, and mental health from Day-1
• Flexible health stipends
• Flexible time off and modern leave
• Global, remote-first environment

About the company

Atlan is building the context layer for enterprise AI. They provide the infrastructure that connects data stacks, operational systems, and AI agents.