platform engineer for high-performance computing

GSK is a global biopharma company focused on preventing and treating disease through specialty medicines and vaccines. Its Onyx Research Data Platform organization develops data, AI/ML, and computational capabilities to accelerate the discovery of new medicines and improve productivity for scientists, engineers, and decision-makers.

• Design, build, and operate tools, services, and workflows that solve key business problems;
• Develop key components of a hybrid on-prem/cloud compute platform for interactive and scalable batch computing;
• Establish processes and workflows to transition existing HPC users and teams to the platform;
• Build code-driven environments, applications, and containers/images;
• Deploy applications through CI/CD;
• Consult science users on application scalability to PBs of data;
• Optimize the design and execution of complex solutions in large-scale distributed computing environments;
• Produce well-engineered software with automated test suites, technical documentation, and operational strategies;
• Ensure consistent use of platform abstractions for logging and lineage quality;
• Participate in code reviews and partner to improve team standards;
• Follow the QMS framework and CI/CD best practices and guide improvements to ways of working;
• Provide leadership to team members and help them complete work correctly.

• Bachelor’s degree in data engineering, Computer Science, Software Engineering, or a related discipline;
• Experience with Python;
• Experience with Cloud;
• Experience with High Performance Compute (HPC);
• Deep knowledge of at least one common programming language, including toolchains for documentation, testing, and operations/observability;
• Deep expertise in modern software development tools and ways of working;
• Deep cloud expertise, including infrastructure-as-code tools and scalable compute technologies;
• Experience with CI/CD implementations using git and a common CI/CD stack;
• Deep expertise with Docker, Kubernetes, and the broader CNCF ecosystem, including Helm;
• Experience with low-level application build tools such as make and CMake, and automated build systems such as spack or easybuild;
• Experience with workflow orchestration tools such as Argo Workflow, Airflow, Nextflow, Snakemake, VisTrails, or Cromwell;
• Experience with application performance tuning and optimization in parallel and distributed computing, including MPI, OpenMP, or Gloo;
• Deep understanding of hardware, networks, storage, and their impact on application performance;
• Demonstrated excellence in agile software development environments using tools such as Jira and Confluence;
• Deep familiarity with high-performance application tools, techniques, and optimizations, including engagement with the open-source community;
• Nice to have: Contributions to open-source tools.

• Agile working culture with flexibility opportunities.