Designed and deployed complex production infrastructure on AWS across networking, identity, compute, and data.
Architected single-tenant platforms and managed fleets of tenant environments at scale throughout provisioning, operation, and deletion.
Expert-level Pulumi experience, including designing and scaling large Pulumi codebases and deep knowledge of its core concepts and tooling.
Experience running containerized workloads using ECS, Kubernetes, or equivalent, and building CI/CD pipelines.
Deep infrastructure security expertise, including designing for isolation, least-privilege access, and defense in depth; SOC 2 controls are a baseline.
Ability to build infrastructure that is observable, cost-effective, and performant.
Strong programming skills in Python, Go, or a similar language to build and maintain necessary tools.
Use of AI tools throughout infrastructure design, building, and operation.
Demonstrated experience in cloud infrastructure, platform engineering, or DevOps/SRE roles at a functional lead level, serving as a trusted source for infrastructure decisions.
Ability to independently lead architecture evolution, design and document major changes, plan work, delegate appropriately, and implement the work.
Production experience with GCP or Azure alongside AWS.
Experience at an early-stage seed-to-Series-A startup, especially building cloud infrastructure from a small footprint.
Cloud provider certifications such as AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure equivalents.
Responsibilities
Set the direction for infrastructure supporting the company's agents and build much of it hands-on.
Own the design of secure, dedicated AWS environments for each enterprise customer and the operation of a growing fleet of those environments.
Determine how the platform evolves and make infrastructure decisions for engineering.
Lead infrastructure architecture evolution by designing and documenting major changes, planning work, delegating where appropriate, and implementing the work.
Desired Qualifications
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 such as AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure equivalents.
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.