Steel is building open-source browser infrastructure for AI agents and apps. We make it easy for developers to ship AI products that interact with the web using our Sessions API.
With over 6,000 GitHub stars, dozens of paying customers, and millions of sessions served monthly, we grew our platform 50x in 2025 purely through word-of-mouth and our open-source community. Backed by world-class investors, we're building a small, highly motivated, talent-dense team that's shaping the future of how humans interact with the internet.
More on the problems we're solving: https://docs.steel.dev/overview/intro-to-steel
Engineers at Steel build distributed systems that power millions of browser sessions for AI agents. We're dealing with VM-level performance optimization, global orchestration, multi-tenant isolation, and developer infrastructure. The work spans kernel debugging to API design.
The ideal Steel engineer has deep systems knowledge but ships across the stack. Core requirements: you understand how computers actually work, you ship, and you'd rather ask for forgiveness than wait for permission.
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
5+ years writing high-quality, production code
Experience building and operating high-performance, large-scale distributed systems (battle scars welcome)
Strong cloud infrastructure skills (AWS, GCP)
Strong knowledge of OS foundations - Linux kernel, file systems, containers, etc
Track record in performance optimization (we love a good "shaved 5ms" story)
Able to work in-person from our Toronto office
Rust experience is a plus, not a requirement
If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
Open-source browser API for AI agents with anti-bot protection and session persistence.
View company profileEstimated based on role seniority, stage (Seed) & industry benchmarks.
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