Checked on their board 23 Oct

WHIRL AI Hiring now

Principal Engineer, Cloud Infrastructure

Enterprise AI platform for faster business change. You'd lead infrastructure decisions and build secure environments.

San Francisco, CAHybridFull-timePosted 8 days ago
Who to email about itThe Head of Engineering at WHIRL AITheir email address, hidden
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About the role

From WHIRL AI's posting on Ashby, as they wrote it

Company Description

Whirl AI helps Enterprise IT organizations deliver business change faster. Our platform gives enterprise teams AI agents grounded in a deep, continuously updated understanding of how their systems actually work - compressing discovery and documentation from weeks to hours without sacrificing quality or control. We are early-stage, moving fast, and building the team that will define how Enterprise IT operates in the AI era.

Role Description

As our Principal Cloud Engineer, you'll set the direction for the infrastructure behind our agents and build much of it yourself. You'll own how every enterprise customer gets a secure, dedicated environment on AWS, and how we run a growing fleet of those environments without slowing the team down. This is a hands-on technical leadership role: you'll decide how our platform evolves, and engineering will look to you for infrastructure decisions.

What We Are Looking For

  • You have designed and deployed complex production infrastructure on AWS across every layer: networking, identity, compute, and data.
  • Experience architecting single-tenant platforms from the ground up and managing fleets of tenant environments at scale through their whole lifecycle, from provisioning to deletion.
  • Expert-level Pulumi. You have designed and scaled large Pulumi codebases and know the platform in depth, from its core concepts to its wider tooling.
  • Experience running containerized workloads (ECS, Kubernetes, or equivalent) and building the CI/CD pipelines that let the rest of engineering ship safely and fast.
  • Deep expertise in infrastructure security. You design for isolation, least-privilege access, and defense in depth. SOC 2 controls are the floor, and we expect skills well beyond them.
  • You build infrastructure that is observable, cost-effective, and performant.
  • Strong programming skills in Python, Go, or a similar language, enough to build and maintain the tools your work needs.
  • You use AI tools throughout your work to design, build, and operate infrastructure faster.
  • Demonstrated experience in cloud infrastructure, platform engineering, or DevOps/SRE roles at a functional lead level. Your team has relied on you for its infrastructure decisions.
  • A high degree of independence. You lead the evolution of our architecture: design and document major changes, plan the work, delegate where it makes sense, and do the implementation yourself.

Nice to Have

  • Production experience with GCP or Azure alongside AWS
  • Experience at an early-stage (seed to Series A) startup, especially having built cloud infrastructure from a small footprint
  • Cloud provider certifications (AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure equivalents)

Why Join us

  • Own meaningful technical decisions at the ground floor of an AI company targeting a massive market
  • Work directly with founders and have immediate, visible impact
  • Competitive compensation including equity and benefits (100% employer-paid health plan coverage for employees)

Whirl AI is committed to equal employment opportunity. All hiring decisions are made on the basis of qualifications, merit, and business need - never on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

We build better products because our team doesn't all think the same way, and we want that to keep being true. Show up as yourself. We can't wait to meet you.

Live on WHIRL AI's board as of 23 Oct. We check it every day.

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About WHIRL AI

AI agents for enterprise IT operations, the foundational context layer that makes Enterprise AI actually work inside complex organisations

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