Senior Cloud EngineerVerified as a real position

Who we’re looking for

• 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.

What you’ll 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.

About 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.

Benefits

• 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.