Cloud Simulation Platform Engineer - HPC & Scientific Computing (m/f/d) - with salary information

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 workflows
• Implementation of infrastructure-as-code solutions using ArgoCD and Helm, as well as GitHub Actions CI/CD pipelines, to automate deployment and lifecycle management
• Configuration and management of Kubernetes workloads on AWS EKS - including namespaces, resource quotas, and autoscaling via Karpenter - for compute-intensive simulation jobs
• Setup and maintenance of observability tooling (monitoring, logging, alerting) for proactive incident detection and rapid resolution in Airflow and simulation environments
• Collection and consolidation of requirements from workflow developers and platform users, and translation into architecture-relevant decision inputs
• Support for the design of custom Airflow components (plugins, operators) as well as the setup of isolated HPC compute environments for sensitive simulation and data workloads
• Creation 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 infrastructure
• Solid experience with infrastructure-as-code (e.g., ArgoCD, Helm) and CI/CD pipeline development with GitHub Actions
• Software development skills - including compilation, linking, parallel computing libraries, and GPU acceleration - round out your technical foundation
• Hands-on experience with Apache Airflow (deployment, operations, plugin and operator development), or a strong willingness to learn in this area
• Knowledge of Kubernetes (ideally EKS) including workload configuration, autoscaling, and resource management - or high motivation to get up to speed quickly
• Experience 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 methods
• Active 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.

For initial questions, please contact Chris Rziha ( ).

#LI-Hybrid

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!

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 yo