Senior Full-Stack Engineer

ABOUT THE ROLE

Join a small engineering team building a marketplace for GPU computing. This senior, backend-focused role combines architecture, hands-on development, and product collaboration, with ownership of customer-facing features and production systems.

WHAT YOU'LL DO

• Design and build backend services and frontend features for inventory, orders, requests for quotes, and invoicing.
• Plan features and write clear specifications, then use AI coding agents to accelerate implementation and review output for quality and correctness.
• Develop platform capabilities such as identity and business verification workflows, messaging integrations, live chat, and AI-assisted customer support.
• Deploy and maintain production systems, with attention to reliability, performance, and maintainability.
• Contribute to product discussions and help resolve customer support tickets as needed.

WHAT WE'RE LOOKING FOR

• Eight to twelve years of software engineering experience, including a strong backend focus and experience shipping customer-facing web applications.
• Experience at an early-stage startup or as a founder, with a self-directed and adaptable approach to product development.
• Proficiency with React, TypeScript, SQL, HTML, and CSS, plus experience with some of Go, Rust, Node.js, or Bun.
• Hands-on experience with CI/CD, Kubernetes, and designing, deploying, and maintaining production systems.
• Familiarity with AI coding agents and the ability to plan work for them and validate their code.
• Background in marketplaces, e-commerce, inventory, orders, invoicing, or other business operations; GPU technology or cloud computing experience is useful.
• Strong CS fundamentals or equivalent engineering experience, and willingness to support customer workflows during US-compatible collaboration hours, including 11 AM to 4 PM Eastern Time.

COMPENSATION & BENEFITS

Base salary: $200,000 to $275,000 USD annually. Visa sponsorship is available.

LOCATION

Remote, with the primary location in Canada. Candidates must be able to work US-compatible time zones and core collaboration hours.