Location: Toronto, CA

On-site | Full-time

Compensation: 130K-170K (CA$180K – CA$225K)

We are hiring on behalf of our client who is an innovative infrastructure provider building open-source browser solutions specifically designed for AI agents and applications. The platform enables developers to deploy AI products that interact seamlessly with the web through a high-performance Sessions API. Having experienced 50x growth in the past year and serving millions of sessions monthly, the organization is backed by premier investors and maintains a significant open-source presence.

The organization is seeking highly skilled engineers to design, build, and maintain the novel, high-performance systems that power the platform. This role involves solving complex problems at the intersection of browser technology and cloud infrastructure, such as orchestrating millions of sessions across global regions with sub-second cold starts and engineering VM snapshotting for near-instant state restoration.

Key Responsibilities

• Develop and maintain high-performance, large-scale distributed systems.
• Architect and implement VM snapshotting technologies to restore full browser states in under one second.
• Analyze kernel traces and system performance to optimize the core Sessions API.
• Manage and orchestrate browser sessions across multiple regions with a focus on sub-second cold starts.
• Work extensively with VMs, proxies, caches, task queues, and orchestration systems.
• Design and deploy observability and CI/CD stacks from the ground up.
• Contribute to meaningful architecture decisions and system design rather than simply implementing provided specifications.

Requirements

• Experience: Minimum of 4+ years of experience writing high-quality, production-level code.
• Technical Proficiency: Proven track record of building and operating high-performance, large-scale distributed systems.
• Infrastructure Skills: Strong expertise in cloud infrastructure, specifically within AWS or GCP environments.
• Systems Knowledge: Deep understanding of OS foundations, including the Linux kernel, file systems, and containerization.
• Performance Engineering: Demonstrated ability in performance optimization and a passion for reducing latency.
• Location: Ability to work in-person from the Toronto, ON office.
• Preferred Skills: Experience with Rust is considered a significant asset but is not a strict requirement.

Benefits

• Compensation: Competitive salary ranging from CA$180,000 to CA$225,000.
• Equity: Meaningful equity stake between 0.25% and 1%.
• Health & Wellness: Comprehensive health, dental, and vision coverage for employees and their families, plus gym membership subsidies.
• Equipment: Provision of a brand-new laptop and professional workstation setup.
• Culture: Regular team events, off-sites, and the opportunity to work in a high-talent-density environment.
• Impact: Direct exposure to innovative AI companies transforming industries such as healthcare, supply chain, and finance.

Interview Process

The selection process is designed to be rigorous yet efficient, consisting of the following stages:

Initial Screen: A 30-minute introductory interview with a member of the executive leadership team.

Technical Interview: A deep-dive system design interview conducted by the CTO.

Technical Assignment: A coding-focused session with a founding engineer.

Final Round: A comprehensive one-day on-site interview at the Toronto office.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

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