Senior Cloud Engineer

Job Description

The Position

The Advanced Scientific Compute (ASC) team builds and operates the cloud HPC platform that underpins computational research at Our Company. AI/ML workloads are rapidly migrating to cloud and this role exists to accelerate that transition bringing dedicated AI/ML expertise into the HPC engineering team to strengthen integrations with AI pipelines enable agentic AI capabilities for self-service and drive better insights from scientific compute data.

What will you do

• Design deploy and operate cloud HPC infrastructure on AWS (ParallelCluster Slurm S3 networking) supporting scientific research workloads.
• Lead integration of HPC environments with AI/ML pipelines enabling training inference and orchestration workloads to run efficiently alongside traditional HPC jobs.
• Architect and implement agentic AI capabilities (e.g. LLM-based self-service tooling automated job management) to improve researcher experience and reduce manual support overhead.
• Contribute to platform observability cost optimisation and capacity planning for cloud HPC environments.
• Partner with HPC Application Support and Client Support Engineering to translate researcher needs into platform improvements.
• Support onboarding and enablement of research teams adopting cloud-native and AI-augmented workflows.
• Participate in on-call rotation and incident response for HPC platform availability.

Qualifications Skills & Experience Required

• 5 years of cloud engineering experience with hands-on AWS expertise (EC2 S3 VPC IAM EFS/FSx).
• Demonstrated experience with HPC environments job schedulers (Slurm PBS or equivalent) parallel filesystems MPI workloads.
• Proficiency in infrastructure-as-code (Terraform or CloudFormation) and scripting (Python Bash).
• Experience integrating or operating ML workloads in cloud environments (training pipelines model serving batch inference).
• Strong systems thinking able to diagnose performance networking and storage bottlenecks in distributed compute environments.
• Comfortable working in a regulated enterprise environment with change management processes.

Nice to have

• Hands-on experience with agentic AI frameworks (e.g. LangChain CrewAI or similar) or LLM-based tooling.
• Familiarity with AWS ParallelCluster or equivalent cloud HPC orchestration platforms.
• Experience in pharma biotech or other scientific computing domains.
• Knowledge of container-based HPC workflows (Docker Singularity/Apptainer).

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.

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