Senior Software Engineer - Infrastructure

Who we are:

Probook is the AI operating system for home services. We started with dispatch, the decision that determines how a $750B industry makes its money, and have since built across the rest of the front office. Our customers do $10M to $100M a year in revenue and run their operations on us.

Dispatch was the first step. The harder problems are ahead of us.

Our team: 2x IMO medalists, 3x ICPC World Finalists and coaches, a Columbia professor, former founders, and engineers from Citadel Securities, Stripe, Palantir, Two Sigma, Meta, and Scale.

What we want you to own

• Own agent execution infrastructure. Design and operate the sandboxed compute environments that power Devin's task execution, including VM orchestration, container management, resource scheduling, and isolation at scale.

• Build and maintain the developer platform. Create the internal infrastructure that Cognition engineers depend on every day: CI/CD pipelines, deployment systems, developer tooling, and the abstractions that let product teams ship fast.

• Drive reliability and observability. Define SLOs, build monitoring and alerting systems, lead incident response, and close the loop on postmortems so the same failure never happens twice.

• Scale with the product. Anticipate capacity and architecture needs before they become bottlenecks; make deliberate infrastructure investments that stay ahead of product growth.

• Partner across engineering. Work closely with product engineers and researchers to understand what the systems they are building require, and design infrastructure that meets those needs without creating unnecessary complexity.
  

Who this is for

• Deep systems engineering. Experience designing and operating large-scale distributed infrastructure; strong opinions about reliability, failure modes, and operational excellence.

• Cloud and container expertise. Hands-on proficiency with Kubernetes, cloud platforms (AWS, GCP, or Azure), and infrastructure-as-code tools like Terraform.

• Strong software engineering fundamentals. Infrastructure at Cognition means writing real code; proficiency in Python and comfort owning complex systems codebases.

• Observability instincts. Knows how to instrument systems, build meaningful dashboards, and design alerts that surface signal without noise.

• Security and isolation mindset. Experience with sandboxing, network isolation, and secure multi-tenant compute, particularly relevant for agentic workloads running arbitrary code.

• Relevant industry experience. Prior experience at a frontier AI lab, applied AI company, or developer tools company; you know what good looks like in this category.

• Degree from a top-tier university. BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program.
  

Compensation & Benefits

• Equity: Meaningful early-stage equity

• Salary: $200K – $250K

• Health: Comprehensive medical, dental, and vision

• Perks: $500 monthly Ramp card for commuting, meals, gym, etc. (plus $25 in nightly meal delivery credit) and really good office snacks

• Access: Direct access to world-class investors and advisors