---
title: 'Member of Technical Staff - Infrastructure at Steel'
canonical: 'https://feeny.ai/job/member-of-technical-staff-infrastructure-steel-toronto-63pg4npydr4k'
type: 'job'
last_seen: '2026-09-10'
---

# Member of Technical Staff - Infrastructure at Steel

- **Company:** Steel
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-25
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/steel/612cf7fc-d001-47ac-ad15-90bf8f6dc70e

## Job description

## About Steel

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](https://docs.steel.dev/overview/sessions-api/overview). With over 7,000 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, and 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 Public referral bonus: Introduce us to a candidate who joins Steel, and we'll send you $10,000

## The Role

We are looking for strong engineers with experience and interest in designing, building, and maintaining the high-performance systems that make up our platform.

Sample projects include...

- Building VM snapshotting that restores full browser state in under a second
- Staring at kernel traces to performance engineer our Sessions API
- Orchestrating millions of browser sessions across regions with sub-second cold starts
- Working with VMs, proxies, caches, task queues, and orchestration systems
- Shipping the observability and CI/CD stack from scratch

Requirements:

- 4+ 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

Applying 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.

## About Steel

## Company Overview
- **One-liner**: Steel provides an open-source, cloud-based browser API purpose-built for AI agents, allowing developers to control fleets of headless browsers for web automation, scraping, and data extraction.
- **Entity Type**: Private (Startup, Pre-Seed/Seed stage inferred)
- **Headquarters**: United States (Remote team across US, Canada, Croatia, and India)
- **Founded**: 2024
- **Founders**: Hussien Hussien (CEO) & Nasr Mohamed (CTO)

## Core Business
- **Primary Industries**: Browser Infrastructure, AI Agent Infrastructure, Web Automation & Data Extraction
- **Target Customers**: B2B; AI engineers, LLM application developers, enterprises needing web data for AI models, foundational model trainers, and teams building web agents (e.g., shopping assistants, RPA, QA, sales automation).
- **Mission/Purpose**: To let developers build AI products that can browse the web by abstracting away the complexity of browser infrastructure — handling CAPTCHAs, proxies, JavaScript rendering, and scaling so teams can focus on shipping product instead of "babysitting browsers."

## Products & Services
- **Steel Browser (Open Source)**: A batteries-included browser sandbox that developers can run locally or self-host. Built to automate the web without managing infrastructure.
- **Sessions API**: The core cloud API — spin up on-demand browser sessions with a single API call (or via Python/Node SDKs). Features include persistent context (cookies, local storage), stealth proxies, auto CAPTCHA solving, up to 24-hour long sessions, and session viewer/replay for debugging.
- **surf.new**: An open-source alternative to OpenAI Operator, demonstrating browser agent capabilities.
- **Steel MCP Server**: An MCP (Model Context Protocol) server for integrating Steel browser control into AI agent workflows.
- **Steel Cookbook**: A repository of examples and guides for common use cases (scraping, sign-in flows, etc.).

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metrics**:
  - **Funding**: Total funding not publicly disclosed (grants available for researchers)
  - **Scale**: 800B+ tokens scraped, 800,000+ browser hours served
  - **Community**: 6,800+ GitHub stars on `steel-browser`; 1,390+ stars on `awesome-web-agents` repo
  - **Growth**: 125% headcount growth YoY (5 employees as of mid-2024)
- **Notable Investors/Partners**: Not publicly disclosed (talent sources listed include Disequi, Sane, onova, Rubric Labs — suggests early-stage backing from these entities).
- **Growth Signals**: Rapid open-source adoption; launching new products like surf.new and MCP Server; active hiring for senior technical roles; presence in multiple countries (US, Canada, Croatia, India).

## Competitive Advantages
- **Open-Source First**: Core browser engine is open source (MIT), allowing self-hosting and deep customization — building trust and developer mindshare.
- **Purpose-Built for AI/LLMs**: Unlike generic scraping tools, Steel is optimized for AI agent use cases — reducing LLM token costs by up to 80% with cleaned HTML, markdown, and screenshots.
- **Batteries-Included Infrastructure**: Handles the full stack of web friction — CAPTCHA solving, rotating proxies, stealth fingerprinting, auto sign-in, and session management — all via a single API.
- **Performance**: Sub-second average session start times; horizontal scaling and 24-hour long sessions for heavy workloads.

## Strategic Focus
- **AI Agent Ecosystem**: Deepening integration with the agent stack (MCP server, cookbooks, SDKs) to make Steel the default browser layer for any web-using AI agent.
- **Enterprise Readiness**: Investing in dedicated support, HIPAA-ready BAAs, enterprise SSO, and reserved browser pools for high-compliance, high-scale customers.
- **Community & Open Source**: Building a developer community around browser agents, with open source tools and leaderboards (e.g., `surf.new`, `leaderboard` repo) to establish Steel as the standard for browser agent infrastructure.

## Why Work Here
- **High-Impact, Early-Stage**: Small team (5 people) growing rapidly — meaning every hire has outsized ownership over product, infrastructure, and culture.
- **Remote-First**: Fully distributed team across the US, Canada, Croatia, and India, supporting async and flexible work.
- **Cutting-Edge Domain**: Working at the intersection of AI agent frameworks, web infrastructure, and open source — one of the hottest spaces in tech.
- **Technical Rigor**: Roles are "Member of Technical Staff" (Applied AI / Infrastructure) — signals a focus on deep engineering talent and a flat, high-autonomy structure.
- **Growth Trajectory**: 125% headcount growth YoY and strong open-source traction suggest a well-funded, product-market-fit trajectory.

## Sources
1. [steel.dev](https://steel.dev/)
2. [jobs.ashbyhq.com/steel](https://jobs.ashbyhq.com/steel)
3. [GitHub - steel-dev](https://www.github.com/steel-dev)
4. [LinkedIn - steel](https://www.linkedin.com/company/steeldotdev)
5. [Steel Docs](https://docs.steel.dev/overview/intro-to-steel)

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