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 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.
• Ability to troubleshoot complex cross-layer issues spanning hardware operating systems networking and applications.
• Strong communication skills and the ability to collaborate across multidisciplinary teams.
• Comfortable working in a fast-moving startup environment.

Nice to have

• Experience with high-performance computing AI infrastructure or accelerated computing platforms.
• Familiarity with GPUs FPGAs or other specialized compute architectures.
• Experience with edge computing or distributed systems.
• Exposure to data center operations infrastructure monitoring or hardware integration.
• Cloud certifications or experience with public cloud environments.

Benefits

• Join an early-stage ETH Zurich spin-off candidate and help shape the companys technical foundations.
• Significant ownership and autonomy from day one.
• Opportunity to work on cutting-edge computing technologies and heterogeneous platforms.
• Flexible and remote-friendly working environment.
• Competitive salary and participation in the companys long-term success.
• Work alongside experienced researchers and engineers at the intersection of infrastructure AI and systems engineering.
• Modern equipment and support for continuous learning and professional development.

If you enjoy building robust platforms solving complex systems challenges and creating the operational backbone for next-generation computing environments we would love to hear from you.

Our hiring process typically consists of an introductory conversation a technical discussion with the engineering team and a final interview focused on mutual fit and long-term vision.