Cloud Simulation Platform Engineer

Covestro — Germany · Posted ~4 hours ago

Full-time €77600/year and above

Skills

Cloud infrastructure Software engineering High-performance computing Scientific computing Computational R&D Cloud platform engineering Cloud computing HPC Quantum computing

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Summary ✨ AI‑Generated

A global scientific technology organization is seeking a Cloud Simulation Platform Engineer to operate and shape the infrastructure behind large-scale computational research. You will work across cloud platforms, software engineering, high-performance computing, and scientific simulation, with substantial technical ownership and direct impact on research performance.

Highlights

Full-time role with a strong starting salary, broad benefits, high technical ownership, and the opportunity to shape global scientific computing infrastructure at the intersection of cloud, software engineering, and HPC.

Description

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18.000 colleagues now and together we will make the world a brighter place. Covestro's digital R&D world is awaiting you: In the High Performance & Quantum Computing team within Digital R&D, you will operate and shape the technological foundation for scientific simulations on a global scale. You will work at the intersection of cloud infrastructure, software engineering, and scientific computing — with a high degree of technical ownership and direct influence on the speed and quality of digital R&D outputs. If you are passionate about modern platforms for Computational R&D and are looking for an environment where you can truly make a difference, this is your opportunity. In addition to our wide range of benefits, a full-time position offers an attractive starting salary between €77,600/year and €93,900/year plus a variable component. The starting salary is based on your qualifications and professional experience. Your area of impact – what to expect on a daily basis: Operation, maintenance, and continuous improvement of Apache Airflow deployments on AWS EKS for reliable and scalable execution of scientific simulation workflowsImplementation of infrastructure-as-code solutions using ArgoCD and Helm, as well as GitHub Actions CI/CD pipelines, to automate deployment and lifecycle managementConfiguration and management of Kubernetes workloads on AWS EKS — including namespaces, resource quotas, and autoscaling via Karpenter — for compute-intensive simulation jobsSetup and maintenance of observability tooling (monitoring, logging, alerting) for proactive incident detection and rapid resolution in Airflow and simulation environmentsCollection and consolidation of requirements from workflow developers and platform users, and translation into architecture-relevant decision inputsSupport for the design of custom Airflow components (plugins, operators) as well as the setup of isolated HPC compute environments for sensitive simulation and data workloadsCreation of technical documentation via Backstage/TechDocs and Confluence, project tracking in Jira, and technology scouting in the cloud-native and DevOps space Your Profile – What Sets You Apart You hold a PhD in computer science, physics, chemistry, mathematics, or a related natural science or engineering discipline — or have equivalent demonstrated experience in deploying and operating scientific software and/or AWS cloud infrastructureSolid experience with infrastructure-as-code (e.g., ArgoCD, Helm) and CI/CD pipeline development with GitHub ActionsSoftware development skills — including compilation, linking, parallel computing libraries, and GPU acceleration — round out your technical foundationHands-on experience with Apache Airflow (deployment, operations, plugin and operator development), or a strong willingness to learn in this areaKnowledge of Kubernetes (ideally EKS) including workload configuration, autoscaling, and resource management — or high motivation to get up to speed quicklyExperience with AWS cloud services and cloud-native infrastructure patterns, as well as fluent English for communication in an international R&D environment Nice To Have, But Not Required Experience with observability tooling (Prometheus, Grafana, OpenTelemetry, or similar)Familiarity with Backstage/TechDocs, Confluence, Jira, and agile working methodsActive interest in AI-assisted coding tools (e.g., GitHub Copilot, Claude, or similar)Background in an R&D or scientific computing environment (industry or academia), and familiarity with simulation software and high-performance computing This position is generally available on a full-time basis. Would you like to work part-time? Feel free to apply in that case as well, stating your desired percentage. For initial questions, please contact Chris Rziha (chris.rziha@covestro.com). Please do not use this email address to send your application or CV. To apply, please click the "Apply" button. Applications submitted by email will not be considered. Perfection? Not required! The requirements are not met 100%, but you are still interested in the position? Are you curious, courageous and colorful as we are? No problem! We'll tackle this together - as a team! With proper onboarding and tailored development opportunities. Apply now! We look forward to receive your application! Become #1ofUs! Anyone who wants to contribute to a better world with Covestro can also expect a lot. We want you to feel at home at Covestro. To feel you’re treated fairly and transparently. That means financial security, a healthy work-life balance and generous benefits. Specifically, it means for us: flexible working hours, the compatibility of family and work, active health promotion and the ability to convert part of your salary into long-term or retirement savings. And that's not all. Sounds exciting? Find out more about Covestro and our benefits here: https://www.career.covestro.de/de/about-covestro/covestro-as-an-employer/employee-benefits Contact Us www.covestro.com Covestro welcomes applications from all individuals, regardless of racial or ethnic origin, skin color, nationality, religion, philosophy, gender, age, physical characteristics, marital status, disability, appearance, sexual orientation and sexual identity. We are committed to treating all applicants fairly and avoiding discrimination.