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The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. Its user laboratory is available to domestic and international researchers in academia, industry, and the business sector. The centre is operated by ETH Zurich and has offices at its data centre in Lugano and in Zurich. Project background As high-performance computing, AI, and cloud technologies continue to converge, CSCS is redefining how advanced computational services are designed and delivered. Modern scientific and engineering workloads are no longer just large—they are complex, data-intensive, and highly diverse, pushing existing infrastructure to its limits. We are offering a contract initially limited to two years , which will provide the opportunity to contribute to a fast-evolving AI landscape in which CSCS plays a key role and to support high-impact initiatives both nationally and internationally. This includes contributions to the Swiss AI Initiative and similar programs, such as lending support for the development and release of foundation models in the weather and climate domain. The initial two-year contract could be extended or even become permanent. Job description The main goal of this position is to develop and manage HPC/AI services on top of a multi-tenant infrastructure. As a Platform automation engineer, you will directly contribute to the design, implementation, maintenance, and documentation of platform services to support HPC and AI. Your work will directly enhance the overall functionality and efficiency of the system. Main duties: Investigating, troubleshooting, and debugging platform services and infrastructure resources Developing, maintaining, and supporting tools and pipelines to support platforms on a geographically redundant infrastructure Developing automations to provision, test, deploy, and monitor resources to support the needs of HPC and AI platforms Supporting, documenting, and sharing knowledge of tools and procedures Profile You should have a bachelor’s or higher degree in computer engineering, computer science, a relevant technical field, or equivalent practical experience. You should have a sound knowledge of: Experience in the deployment of HPC, AI, or Cloud infrastructures Management of HPC/AI services to maximize utilization of compute, storage and high-speed network components Working knowledge of automation tools and frameworks, including CI/CD processes and ecosystem Linux administration skills Experience with the following is preferred, though there will be ample opportunities to learn and gain more experience with all of these skills on the job: Versioning systems and CI/CD workflows, such as ArgoCD Debugging of microservices running on Kubernetes Performance monitoring and diagnostic tools for HPC/AI hardware Infrastructure as Code tools, such as Terraform and Ansible Personal qualities: Self-motivated and proactive team player Strong communication skills or interest in developing them Strong problem-solving mindset with tolerance for uncertainty and change Understands user needs and works collaboratively to address them Adaptive and willing to learn new technologies with and from others Comfortable tackling complex or ambiguous problems Comfortable admitting when you don’t know, reaching out and leveraging the right expertise when needed Project management and methodology: Experience in working in self-organized teams Familiarity with Agile methodology Experience with test-driven development is a plus Curious? So are we. See the full position here: https://jobs.ethz.ch/job/view/JOPG_ethz_WutDHRW09osQjhn0JB
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.