Distributed Computing Platform Engineering Lead

Oreol is an ETH Zurich spin-off candidate developing next-generation distributed computing platforms that bring accelerated computing closer to where data is created and used. Our systems combine modern software platforms, heterogeneous hardware, and edge-to-core deployment models to enable advanced AI and scientific workloads.

We are looking for a Platform Engineering Lead to help build and evolve the operational foundations of our distributed platforms. In this role, you will shape how compute environments are deployed, managed, and consumed across a growing portfolio of customer-owned and regional infrastructures.

Tasks

• Design and evolve the software platform used to deploy and operate distributed computing environments.

• Develop automation frameworks that enable reproducible deployment, configuration, and lifecycle management of infrastructure and services.

• Define engineering standards, workflows, and operational practices across multiple environments.

• Build and maintain provisioning pipelines for physical and virtual systems.

• Drive platform reliability, observability, and operational excellence across the entire stack.

• Collaborate with software, hardware, and product teams to integrate new technologies into the platform.

• Evaluate and introduce tooling that improves scalability, developer productivity, and operational efficiency.

• Contribute to reference architectures for distributed and heterogeneous computing systems.

• Lead technical investigations, proof-of-concepts, and platform validation activities.

• Mentor engineers and foster engineering best practices within the organization.

• Work closely with customers and partners during platform deployments and technical integrations.

Requirements

• Degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.

• Several years of experience designing and operating production infrastructure or platform environments.

• Strong Linux systems engineering background.

• Hands-on experience with automation and Infrastructure as Code tools (Ansible, Terraform, or similar).

• Experience building and maintaining CI/CD pipelines and automated operational workflows.

• Familiarity with containerized environments and orchestration technologies such as Kubernetes.

• Solid understanding of networking, distributed systems, and infrastructure security principles.

• Experience operating physical or hybrid infrastructure environments.