> Markdown version of [/jobs/ext/4625012-software-engineer-infrastructure](https://www.wearedevelopers.com/jobs/ext/4625012-software-engineer-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, Infrastructure

- **Company:** Cognition LLC
- **Location:** Buffalo, NY, United States
- **Salary:** $260,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Computing, Programming Tools, Python (Programming Language), Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Terraform
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_d0cfaa05c0957649045fbd82342cfe7a

## About the Role

* 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.

## Description

* 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.