Job Description

About the Role

We're hiring a Senior Infrastructure Engineer to own and scale the core systems behind a rapidly growing AI automation platform. The company recently raised $70M , is only 31 people , and is entering a phase where infrastructure reliability, scalability, and deployment velocity are existential priorities.

You'll join a small, high‑output engineering team (9 engineers today) and take ownership of infrastructure across on‑prem deployments, cloud environments, Kubernetes orchestration, CI/CD, observability, and scaling services used by enterprise customers.

This is a role for someone who wants deep ownership, fast iteration, and the chance to shape infra at a company growing faster than its systems can keep up.

What You'll Do

• Own infrastructure end‑to‑end across cloud and on‑prem environments
• Scale services to support rapidly increasing enterprise usage
• Manage and improve Kubernetes deployments (must‑have)
• Build and maintain CI/CD pipelines, observability, and internal tooling
• Work closely with full‑stack teams to ensure smooth deployments
• Support multi‑cloud expansion (AWS, GCP, Azure — experience here is a plus)
• Participate in a one‑day work trial to collaborate on real code and infra tasks

What We're Looking For

Must‑Haves

• Strong experience with Kubernetes in production
• Experience scaling infrastructure at a fast‑growing startup or large‑scale tech company
• Ability to write production‑quality code (Python or TypeScript preferred)
• Experience with cloud deployments (AWS/GCP/Azure)
• Comfortable owning infra independently in a small team
• Willing to work on‑site 5 days/week in SF or Vancouver

Nice‑to‑Haves

• Multi‑cloud experience
• Experience with hybrid or on‑prem deployments
• Background in developer tooling, automation, or AI/LLM‑powered systems
• Prior experience at high‑scale companies (Stripe, Uber, Dropbox, Cloudflare, Datadog, etc.)

Work Environment

• 5 days/week in‑office — no exceptions
• Offices in San Francisco and Vancouver
• Fast‑moving, high‑ownership engineering culture
• Expectation of rapid iteration and hands‑on execution
• Interview process pauses May 17–22 due to company offsite

Why This Role Is Special

• Join at 31 employees with $70M raised — massive ownership
• Work directly on the infra powering enterprise AI automation
• Shape the architecture before the next 10× scale jump
• Collaborate with a small, elite engineering team
• Zero bureaucracy, extremely fast shipping environment

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