Distributed Computing Platform Engineering Lead

pOreol 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. /p pWe 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. /p h2Tasks /h2 ul liDesign and evolve the software platform used to deploy and operate distributed computing environments. /li liDevelop automation frameworks that enable reproducible deployment, configuration, and lifecycle management of infrastructure and services. /li liDefine engineering standards, workflows, and operational practices across multiple environments. /li liBuild and maintain provisioning pipelines for physical and virtual systems. /li liDrive platform reliability, observability, and operational excellence across the entire stack. /li liCollaborate with software, hardware, and product teams to integrate new technologies into the platform. /li liEvaluate and introduce tooling that improves scalability, developer productivity, and operational efficiency. /li liContribute to reference architectures for distributed and heterogeneous computing systems. /li liLead technical investigations, proof-of-concepts, and platform validation activities. /li liMentor engineers and foster engineering best practices within the organization. /li liWork closely with customers and partners during platform deployments and technical integrations. /li /ul h2Requirements /h2 ul liDegree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline. /li liSeveral years of experience designing and operating production infrastructure or platform environments. /li liStrong Linux systems engineering background. /li liHands-on experience with automation and Infrastructure as Code tools (Ansible, Terraform, or similar). /li liExperience building and maintaining CI/CD pipelines and automated operational workflows. /li liFamiliarity with containerized environments and orchestration technologies such as Kubernetes. /li liSolid understanding of networking, distributed systems, and infrastructure security principles. /li liExperience operating physical or hybrid infrastructure environments. /li liAbility to troubleshoot complex cross-layer issues spanning hardware, operating systems, networking, and applications. /li liStrong communication skills and the ability to collaborate across multidisciplinary teams. /li liComfortable working in a fast-moving startup environment. /li /ul pstrongNice to have /strong /p ul liExperience with high-performance computing, AI infrastructure, or accelerated computing platforms. /li liFamiliarity with GPUs, FPGAs, or other specialized compute architectures. /li liExperience with edge computing or distributed systems. /li liExposure to data center operations, infrastructure monitoring, or hardware integration. /li liCloud certifications or experience with public cloud environments. /li /ul h2Benefits /h2 ul liJoin an early-stage ETH Zurich spin-off candidate and help shape the company’s technical foundations. /li liSignificant ownership and autonomy from day one. /li liOpportunity to work on cutting-edge computing technologies and heterogeneous platforms. /li liFlexible and remote-friendly working environment. /li liCompetitive salary and participation in the company’s long-term success. /li liWork alongside experienced researchers and engineers at the intersection of infrastructure, AI, and systems engineering. /li liModern equipment and support for continuous learning and professional development. /li /ul pIf 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. /p pOur 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. /pbr