You'll be joining the team responsible for the infrastructure behind all of H's products: clusters, networking and security. It's the foundation that lets the rest of the company deliver value directly to customers.
What you'll ownFrom your first quarter, you'll own a real piece of our move from AWS to an environment-agnostic platform. The team moves fast and the problems are novel: each model release and each new customer changes what the infrastructure has to support.
What you'll be doingRunning and scaling Kubernetes clusters and networking
Building authentication and authorization systems
Refactoring the stack to be environment agnostic
Speeding up deployment for our Forward Deployed Engineers (FDEs)
Building Kubernetes-native services, such as controllers and operators
Writing and maintaining infrastructure as code
The role sits in the Infrastructure team, with our VP of Engineering as hiring manager. Your users are H's product and platform engineers and, through our FDEs, our external customers.
What we think it takesYou're likely a good fit if you:
Write Python or Go well enough to solve real problems with it
Have built and operated a Kubernetes-based platform at significant scale and can put numbers on its clusters, services and users
Have worked with more than one cloud provider (AWS, Azure, GCP), or have strong knowledge of fundamental systems engineering (Linux, eBPF)
Have built and owned infrastructure as code, CI/CD and observability
Stronger still if you have:
Worked with complex network topologies (multi-cluster, dual-stack) and CNIs such as Cilium or Calico
Handled petabyte-scale data, or high-frequency, latency-sensitive workloads
Worked with agentic systems, particularly in security
Worked with GPUs and tools such as Dynamo, vLLM or SGLang
Five stages, about 3.5 hours in all: a 30-minute call with our Talent team, a 30-minute conversation with the lead of the Infrastructure team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering.
PracticalitiesThe role is hybrid, with three days a week in our Paris or London office. We offer a competitive package.
Skills Required
- Proficiency writing Python or Go to solve real-world engineering problems
- Experience building and operating a Kubernetes-based platform at significant scale
- Experience with multiple cloud providers, including AWS, Azure, or GCP, or strong Linux and eBPF systems-engineering knowledge
- Experience building and owning infrastructure as code, CI/CD, and observability
- Experience with complex network topologies, such as multi-cluster or dual-stack environments, and CNIs such as Cilium or Calico
- Experience handling petabyte-scale data or high-frequency, latency-sensitive workloads
- Experience with agentic systems, particularly in security
- Experience with GPUs and tools such as Dynamo, vLLM, or SGLang
What We Do
Building Superintelligence & Putting AI to work for you. H is trailblazing the agentic AI era, starting with Runner H — our flagship agent. Now in private beta for developers.
