WHAT YOU'LL ACCOMPLISH
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.
EXCEPTIONAL CANDIDATES HAVE DEMONSTRATED
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
Base Salary: $260,000 - $300,000 + significant early-stage equity
Medical, Dental, Vision: Fully paid for you and your dependents
401(k): Company match included
Perks: Private chef, cozy slippers, endless snacks, and more
OUR COMMITMENT
Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws.
Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice https://cognition.com/documents/Cognition-Global-Applicant-and-Job-Candidate-Privacy-Notice.pdf. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement https://cognition.com/documents/Cognition-Applicant-Arbitration-Agreement.pdf.
