About the project

• You will join a highly skilled and collaborative engineering team tasked with migrating on-premises SLURM-based HPC clusters to Google Cloud. The focus is on designing secure, scalable, and cost-effective HPC environments optimized for demanding pharmaceutical research workloads.
• Our client is a multinational leader in the global healthcare and life sciences industry, renowned for its innovation in pharmaceuticals, vaccines, and health-related consumer products. With a portfolio addressing key therapeutic areas such as respiratory conditions, HIV, hepatitis, and malaria, the company is also recognized for its commitment to healthcare accessibility in developing countries.
• This position is part of a strategic digital transformation initiative aimed at modernizing and scaling their High-Performance Computing (HPC) infrastructure using Google Cloud Platform (GCP).
• Engagement Model
• • Extended Team Setup
• • Full-time allocation
• • 100% Remote (EU only)
• • Security Clearance Required
• • Initial onboarding with existing HPC team and client stakeholders
• Why Join This Project?
• • Contribute to life-saving innovation in global healthcare R&D.
• • Work on a rare, large-scale migration of HPC workloads to the cloud.
• • Be part of a technically advanced, DevOps-driven team with end-to-end ownership.
• • Access to cutting-edge tools, autonomy, and long-term collaboration.

Your responsibilities

• Lead the end-to-end migration of SLURM-based HPC clusters from on-premises infrastructure to Google Cloud Platform (GCP).
• Design, deploy, and manage secure and scalable HPC infrastructure in GCP.
• Optimize SLURM configurations and job workflows to improve efficiency and cloud resource utilization.
• Automate cluster lifecycle processes (deployment, configuration, maintenance) using Python, Bash, Ansible, and Terraform.
• Manage HPC software stacks with Spack to streamline the deployment of libraries and tools.
• Troubleshoot and support MPI, OpenMP, and other HPC applications on GCP-based clusters.
• Collaborate closely with engineering, operations, and business teams to ensure continuity and performance.
• Conduct performance tuning, resource optimization, and monitor cost-efficiency across workloads.
• Stay current with GCP HPC innovations, including VM types, networking, and autoscaling strategies.

Our requirements

• 5+ years of experience in HPC environments, with deep knowledge of SLURM, MPI, and Linux-based system management.
• Proven expertise in cloud migration of HPC clusters, ideally within GCP.
• Strong scripting and automation skills in Python and Bash, plus tools like Ansible and Terraform.
• Experience with Spack for software stack management in HPC.
• Deep understanding of GCP services: Compute Engine, Cloud Storage, VPC, IAM.
• Strong analytical skills for performance tuning and job scheduling in complex HPC setups.
• Proficiency in English (C1/C2) is required for communication across distributed, international teams.
• Ability to operate in cross-functional, multi-vendor environments and present technical solutions clearly.

Optional

• GCP Professional DevOps Engineer certification (or equivalent).
• Familiarity with GCP-specific HPC features: Preemptible VMs, HPC VM images, autoscaling strategies.
• Experience with profiling/debugging HPC workloads, including performance optimization tools.
• Understanding of HPC data management, parallel file systems, and high-throughput data transfer.
• Knowledge of container solutions in HPC contexts (e.g., Singularity, Docker).
• Familiarity with Spark, Hadoop, or Big Data frameworks in HPC environments.

Technologies we use

What we offer

• Long-term cooperation

• Benefits package – Multisport, private medical care, life insurance

• Training budget

• Free English lessons

• Individual support from a dedicated company mentor