Compute Platform Engineer II

At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next‑generation, metadata‑and‑automation‑driven data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on “data mechanics” Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real‑time Purpose of Onyx Our Compute Platform Engineering team is building a first‑in‑class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High‑Performance Computing (HPC). This metadata‑forward, CI/CD‑driven platform represents and enables the entire application and analysis lifecycle including interactive development and explorations (notebooks), large‑scale batch processing, observability and production application deployments. Role Overview A Compute Platform Engineer II is a technical contributor who can consistently take a poorly defined business or technical problem, work it to a well‑defined problem / specification, and execute on it at a high level. The role focuses on metrics, code quality, documentation, DevOps and testing, ensuring robustness of services and serving as an escalation point for operations. In this role you will Design, build, and operate tools, services, workflows that deliver high value through solutions to key business problems. Develop key components of a hybrid on‑prem/cloud compute platform for both interactive and scalable batch computing, establishing processes to transition existing HPC users and teams to this platform. Build code‑driven environments, applications, and container/image builds as well as CI/CD‑driven application deployments. Consult science users on application scalability to petabytes of data by understanding software engineering, algorithms, and hardware infrastructure impacts on performance. Optimize design and execution of complex solutions within large‑scale distributed computing environments. Produce well‑engineered software, including automated test suites, technical documentation, and operational strategy. Apply platform abstractions consistently to maintain quality and consistency in logging and lineage. Adhere to best practices and participate in code reviews and partnering to improve the team’s standards. Follow QMS framework and CI/CD best practices, guiding improvements that enhance working methods. Why you? Qualifications & Skills: Bachelor’s degree in Data Engineering, Computer Science, Software Engineering or another relevant area. Significant experience in a technical role within industry. Experience with Python. Experience with Cloud. Experience with High Performance Compute (HPC). Preferred Qualifications & Skills: Master’s degree or PhD in Data Engineering, Compute Science, Software Engineering or another relevant area. Knowledge and use of at least one common programming language, e.g., Python, Go, C++, Scala, Java, including toolchains for documentation, testing, and operations / observability. Expertise in modern software development tools / ways of working. Cloud expertise (e.g., AWS, Google Cloud, Azure) with infrastructure‑as‑code tools and scalable compute technologies. Experience with CI/CD implementations using git and a common CI/CD stack. Expertise with Docker, Kubernetes, and the CNCF ecosystem including Helm. Experience with low‑level application build tools (make, CMake) as well as automated build systems (spack, 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 paradigms. Demonstrated excellence with agile software development environments using Jira and Confluence. Familiarity with optimization techniques in high‑performance applications and engagement with the open‑source community. Closing Date for Applications: Tuesday 6th January 2026 (COB) Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. #J-18808-Ljbffr