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. - 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 company’s 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 company’s 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. Find more English Speaking Jobs in Switzerland on Arbeitnow