Cloud Engineer

Job Description

The Position

The Advanced Scientific Compute (ASC) team supports a growing ecosystem of HPC modules and scientific applications used by researchers across Our Company. This role provides dedicated engineering capacity to maintain improve and extend that ecosystem reducing technical debt optimizing scientific workflows and responding quickly to researcher needs. The engineer will work closely with the US-based research community with flexibility to collaborate across EU and US timezones and will apply modern tooling including AI and GenAI to accelerate solution delivery.

What will you do

• Maintain and improve the ecosystem of HPC modules and scientific applications used by Our researchers.
• Develop new software solutions in collaboration with researchers and HPC engineers primarily Python with full-stack capability where needed.
• Identify and address technical debt across supported tools and workflows.
• Optimise scientific workflows for performance reliability and usability.
• Respond to technical issues and researcher requests providing timely resolution and clear communication.
• Apply AI and GenAI tooling to accelerate development automate repetitive tasks and improve researcher self-service.
• Collaborate with US-based teams with flexibility to work across EU and US timezones.
• Contribute to DevOps practices CI/CD version control testing and deployment pipelines for scientific software.

Qualifications Skills & Experience Required

• 3 years of software engineering experience with strong Python skills.
• Experience maintaining and supporting software ecosystems modules libraries or application portfolios in a production or research environment.
• Familiarity with HPC or scientific computing environments (job schedulers cluster workflows or equivalent).
• DevOps fundamentals version control (Git) CI/CD pipelines automated testing containerisation (Docker).
• Ability to work flexibly across EU and US timezones to support researcher collaboration.
• Strong communication skills able to engage directly with non-technical research users and translate their needs into engineering solutions.

Nice to have

• Full-stack development experience (web UI REST APIs or workflow tooling).
• Hands-on experience with AI/GenAI tooling prompt engineering LLM-based automation or agentic frameworks (e.g. LangChain CrewAI).
• Exposure to machine learning workflows or scientific Python stack (NumPy SciPy Pandas Jupyter).
• Experience in pharma biotech or academic scientific computing environments.

What we offer

• Exciting work in a great team global projects international environment.
• Opportunity to learn and grow professionally within the company globally.
• Hybrid working model flexible role pattern (e.g. even 80% full-time is possible in justified cases).
• Pension and health insurance contributions.
• Internal reward system plus referral programme.
• 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution.
• Cafeteria for tax free benefits according to your choice (meal vouchers sport culture health travel etc.) Multisport Card.
• Vodafone Raiffeisen Bank and Foodora discount programmes.
• Up-to-date laptop and iPhone.
• Parking in the garage showers refreshments massage chairs library music corner.
• Competitive salary incentive pay and many more.

Ready to take up the challenge Apply now!
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