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.
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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.
#J-18808-Ljbffr
