Compute Platform Engineer II

GSK; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

GSK is seeking a highly skilled data platform engineer to design, build and operate a hybrid on-prem/cloud compute platform for interactive and scalable computing. You will collaborate with science users, implement CI/CD, and optimize performance across large-scale distributed systems.

You will contribute to a shared data and AI/ML environment, ensure quality, logging, and reproducibility, and advocate best-practice software engineering within a fast-moving R&D context in London.

Qualifications

• Bachelor's degree in Data Engineering, Computer Science, or Software Engineering.
• Experience with Python.
• Experience with Cloud.
• Experience with High Performance Compute (HPC).
• Experience with CI/CD and modern software development practices.
• Familiarity with Docker, Kubernetes and CNCF ecosystem.

Responsibilities

• Designs, builds, and operates tools, services, workflows to deliver high value for business problems.
• Develops a hybrid on-prem/cloud compute platform for interactive and scalable batch computing.
• Manages code-driven environments and CI/CD driven deployments.
• Advises science users on application scalability for PB-scale data.
• Optimizes design and execution of complex solutions in large-scale distributed systems.
• Produces well-engineered software with tests, documentation, and operational strategy.
• Ensures logging and data lineage consistency across platforms.
• Participates in code reviews and promotes standard practices.

Skills

Algorithms

Data Assessment

Decision Making

Exploratory Data Analysis (EDA)

Feature Engineering

Hypothesis Testing

Mathematics Modeling

Predictive Modeling

Probabilistic Modeling

Statistical Analysis

Statistical Analysis Techniques

Education

Bachelor's degree in Data Engineering, Computer Science, Software Engineering

Tools

Docker

Kubernetes

Helm

Git

GitHub

Azure DevOps

CircleCI

Jenkins

GitLab

Argo

Airflow

Nextflow

Snakemake

Cromwell

MPI

OpenMP

Job description

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

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

Basic Qualifications:

• Bachelor's degree in Data Engineering, Computer Science, Software Engineering
• Experience with Python
• Experience with Cloud
• Experience with High Performance Compute (HPC)

Preferred Qualifications:

• 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 (e.g. git/GitHub, devops tools, metrics / monitoring, …)
• 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)
• 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
• Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps)
• Experience in workflow orchestration with tools such as Argo Workflow, Airflow, and scientific workflow tools such as Nextflow, Snakemake, VisTrails, or Cromwell
• 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
• Familiarity with the tools, techniques, optimizations in high-performance applications space, including engagement with the opensource community (and potentially making contributions to such tools)

Skills

• Algorithms
• Data Assessment
• Decision Making
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Hypothesis Testing
• Mathematics Modeling
• Predictive Modeling
• Probabilistic Modeling
• Statistical Analysis
• Statistical Analysis Techniques

Why GSK?

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. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [e-mail] where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. We are 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. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more on our career site.