Senior Compute Platform Engineer in London

About the Role

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.

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. 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.

A Sr. Compute Platform Engineer is a leading 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. They have a strong focus on metrics, both for the impact of their work and for its inner workings/operations. They are a model for the team on best practices for software development in general (and their specialization in particular), including code quality, documentation, DevOps practices, and testing, and consistently mentor junior members of the team. They ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows.

A Sr. Compute Platform Engineer should be deeply familiar with the tools of their specialization and of their customers and engaged with the open‑source community surrounding them – potentially, even to the level of contributing pull requests.

Key Responsibilities

• Designs, builds, and operates tools, services, workflows, etc that deliver high value through the solution to key business problems.
• Responsible for development of key components of a hybrid on‑prem/cloud compute platform for both interactive and scalable batch computing and establishing of processes and workflows to transition existing HPC users and teams to this platform.
• Responsible for code‑driven environment, applications, and container/image builds as well as CI/CD driven application deployments.
• Consult science users on application scalability to PBs of data by having a deep understanding of software engineering, algorithms, and underlying hardware infrastructure and their impact on performance.
• Confidently optimizes design and execution of complex solutions within large‑scale distributed computing environments.
• Produces well‑engineered software, including appropriate automated test suites, technical documentation, and operational strategy.
• Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage.
• Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards.
• Adhere to QMS framework and CI/CD best practices and helps to guide improvements to them that improve ways of working.
• Provide leadership to team members to help others get the job done right.

Basic Qualifications

• Bachelors degree in Data Engineering, Computer Science, Software Engineering.
• 6+ years of professional experience.
• Experience with Python.
• Experience with Cloud.
• Experience with High‑Performance Compute (HPC).

Preferred Qualifications

• Masters or PhD.
• Deep knowledge and use of at least one common programming language: e.g., Python, C++, Scala, Java, including toolchains for documentation, testing, and operations/observability.
• Deep expertise in modern software development tools/ways of working (e.g. git/GitHub, DevOps tools, metrics/monitoring, …).
• Deep cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure‑as‑code tools and scalable compute technologies, such as Google Batch and Vertex.
• Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab).
• Deep expertise with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm.
• Experience with low‑level application builds tools (make, CMake) as well as automated build systems such as spack or easybuild.
• Experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication libraries such as MPI, OpenMP, Gloo, including deep understanding of the underlying systems (hardware, networks, storage) and their impact on application performance.
• Demonstrated excellence with agile software development environments using tools like Jira and Confluence.
• Deep familiarity with the tools, techniques, and optimizations in high‑performance applications space, including engagement with the opensource community (and potentially making contributions to such tools).

The annual base salary for new hires in this position ranges from $153,000 to $207,000 taking into account a number of factors including work location, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

GSK is an Equal Opportunity Employer and, in the US, we adhere to affirmative action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.