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. 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.

#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!

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.