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 , ensuring builds are reproducible and consistent across clusters.
• Develop new software solutions in collaboration with researchers and HPC engineers - primarily Python - from build automation and internal tooling to researcher-facing applications, with full-stack capability where needed.
• Identify and address technical debt across supported tools and workflows - duplicated builds, version sprawl, and inconsistency between environments.
• Improve how researchers run scientific applications - cutting manual steps, shortening time to result, and making workflows behave predictably at scale.
• 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.
• Manage the lifecycle of supported software - versioning, deprecation, and retirement - in agreement with the research community, keeping the supported estate current and manageable.
• 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, and containerisation (Docker) - applied to building and packaging software, not only deploying it.
• 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 - AI-assisted development and agentic coding tools, prompt engineering, or LLM-based automation of repetitive engineering tasks.
• Experience with Python packaging and environment management (Conda/mamba, pip, virtual environments) alongside the 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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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

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