About the role
About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance.
The Role We're hiring a senior infrastructure engineer to own the internal platform our engineering teams build, test, and collaborate on, spanning compute, storage, networking, build and CI/CD systems, and the security that protects all of it, while partnering with our IT function on identity, devices, and access across the company. You'll turn slow, manual, loosely secured workflows into fast, reproducible, and genuinely secure ones. This is a hands-on, high-ownership role with the freedom to define how internal infrastructure, security, and the technical side of IT work here from the ground up. If you care about engineering velocity, solid networking, best-in-class security, and a well-run technical environment in equal measure, there's a lot to dig into.
Responsibilities Build and operate the platform: design, provision, and run the Kubernetes and bare-metal infrastructure that powers development, simulation, and testing workloads. Automate everything: own infrastructure-as-code (Terraform) and provisioning pipelines so environments are reproducible, version-controlled, and fast to stand up or tear down. Improve the developer platform: build and maintain CI/CD, internal tooling, and self-service workflows that let hardware, software, and compiler engineers ship without waiting on you. Tune for performance: optimise networking (VLANs, firewalls, VPNs, and low-latency/high-bandwidth fabrics) and storage for the throughput and latency that ML and hardware workloads require. Own reliability and observability: implement monitoring, alerting, and capacity planning, and drive availability and performance across hybrid cloud and on-prem environments. Own platform security: implement identity and access management, secrets management, data protection, and threat detection across self-hosted and cloud infrastructure. Drive continuous improvement: proactively find and fix the bottlenecks, manual steps, and reliability gaps that slow the wider engineering team down. Skills & Experience 5+ years in infrastructure, platform, or DevOps/SRE engineering, with a track record of owning systems end to end. Strong infrastructure-as-code and automation skills: Terraform, Ansible, and scripting in Python and Bash. Solid networking fundamentals. Experience operating across hybrid cloud and on-prem/bare-metal environments. Strong grasp of infrastructure security: IAM, secrets management, network security, and hardening across cloud and self-hosted systems. Excellent problem-solving skills, with the ability to diagnose and resolve complex, cross-layer issues in a fast-moving environment. A collaborative communicator who can work with hardware and ML engineers and explain infrastructure trade-offs clearly. Bachelor's degree in computer science, a related field, or equivalent practical experience.