Infrastructure Engineer (Platform) at H Company
- Location
- London, United Kingdom
- Compensation
- Not Disclosed
H Company is looking for an Infrastructure Engineer in London to drive their move from AWS to a truly environment-agnostic platform. This isn't just about managing cloud resources; you’ll be building Kubernetes-native services, scaling multi-cluster networking, and ensuring AI models can deploy anywhere from Azure to on-prem environments.
Working directly with VP of Engineering Ceiran Chapman, you’ll own the transition of a high-growth platform that serves as the foundation for H Company’s entire product line. If you have deep experience in Go, Python, and scaling K8s platforms, this is your chance to own a major architectural evolution.
What's the next step?
H Company are hiring from Jack's network. Talk to Jack for free and get a direct introduction to the team, if a good fit.
Role overview
Join H Company to lead the architectural shift from AWS-specific infrastructure to a portable, environment-agnostic platform. You will own the full lifecycle of Kubernetes-native services, scaling clusters and networking to support rapid model releases. This is a high-impact role building the bedrock for enterprise-grade AI deployment at significant scale.
About H Company
Artificial Intelligence · 130+ employees
H Company is a French artificial intelligence research lab and agentic platform that develops computer-use AI models and autonomous agents. Its technology can navigate and operate web, desktop, and other enterprise software interfaces directly, without requiring dedicated APIs, to automate multi-step business workflows. The company offers AI models, agents, APIs, and enterprise deployment services focused on operational automation and productivity.
What you will do
- Build and operate Kubernetes-native services, including custom controllers and operators, while refactoring the entire stack to be portable across all major cloud providers.
- Run and scale complex multi-cluster networking and security systems, implementing authentication and authorization frameworks to support diverse external customer environments.
- Accelerate deployment cycles for Forward Deployed Engineers by maintaining robust infrastructure as code, CI/CD pipelines, and high-fidelity observability with a focus on cost-efficiency.
Who this is a fit for
- Proficient in Python or Go, with a track record of writing production software and Kubernetes-native tools rather than just simple scripts or configuration files.
- Proven experience building and operating Kubernetes-based platforms at significant scale, demonstrating clear metrics around cluster management, service reliability, and user growth across multiple clouds.
- Deep expertise in infrastructure as code and low-level systems engineering, specifically Linux internals, eBPF, or advanced networking CNIs like Cilium or Calico for complex topologies.
Why this role is remarkable
- Own a critical architectural pivot, moving H Company’s entire estate from AWS-specific to a truly environment-agnostic platform that runs on Azure, GCP, and customer on-prem sites.
- Work on novel, high-stakes infrastructure problems where each new model release and customer deployment shifts the scaling and security requirements of the underlying Kubernetes clusters.
- High-growth environment under the leadership of VP of Engineering Ceiran Chapman, offering a senior-level seat with true ownership over the solution, not just a ticket backlog.
How Jack & Jill work together
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI agent for hiring, working for the company. She recruits from Jack’s network.
If your profile’s a match and H Company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.