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\xe2\x80\x99s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on \xe2\x80\x9cdata mechanics\xe2\x80\x9d
• 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 Staff Compute Platform Engineer is a deeply technical leader who consistently delivers major compute platform features and solutions with cross-organizational impact and value and in particular ensure optimized performance at scale for scientific workflows and applications on the Onyx platform. They are a recognized expert in software engineering, scientific computing, and applications with deep understanding of performance and optimization, within the Onyx team, across R&D Digital & Tech, and even externally. They can work closely with -- and have strong technical knowledge of \xe2\x80\x93 underlying platform dependencies such as DevOps, Infrastructure and Cloud and can enable collaborations and help drive the requirements across other Onyx engineering teams that results in improved performance and better user experience.

This role is responsible for building, leading and mentoring a team of world-class engineers focused on building a best-in-class Compute Platform with focus on scale and performance. The Staff Compute Platform Engineer will support the Sr. Director of Computing, Analysis, and AI/ML Platforms in building a strong culture of accountability and ownership in their team, as well as instilling best-in-class engineering practices (e.g. testing, code reviews, DevOps-forward ways of working). They work in close partnership with the director of Compute Platform Engineering, AI/ML Platform team, DataOps and Engineering, Product Management, Portfolio Management, and other engineering functions to ensure close alignment with customers and with engineering teams both upstream and downstream of their work.

Key Responsibilities:

• Build, lead, mentor, and develop, a small team of world-class engineers
• Serve as a top architect for the Compute Platform, and contribute technical expertise to teams in closely aligned technical areas such as DevOps, Cloud and Infrastructure
• Lead design of major software components of the Compute and Analysis Platform and contribute to development of production code and participate in both design reviews and PR reviews
• Accountable for delivery of tools that help monitor, analyse and optimize performance across the Onyx Compute Platform and in particular scalable batch processing and large-scale interactive analysis
• Partner with leads of Support Engineering, and DevOps/Infrastructure functions to architect an engagement model and optimal ways of working with the Product Management teams
• Integrate with DataOps and Data Engineering products for best performance and ease of use in scientific applications and workflows
• Direct scrum team leads, and contribute technical expertise to teams in closely aligned technical areas to soundly execute the Compute Platform architectural vision
• Able to design innovative strategy and way of working to create a better environment for the end users, and able to construct a coordinated, stepwise plan to bring others along with the change curve
• Standard bearer for proper ways of working and engineering discipline, including CI/CD best practices and proactively spearhead improvement within their engineering area
• Serve as a technical thought leader and champion: e.g., speak at industry events, promote GSK as an attractive place to build a career and thrive as a Platform engineer, act as a key knowledge holder for the Onyx organisation

Why You?

Basic Qualifications:

• Bachelors degree in Data Engineering, Computer Science, Software Engineering or related discipline
• 8+ 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 experience with application performance tuning and optimization, including in parallel and distributed computing paradigms including deep understanding of the underlying systems (hardware, networks, storage) and their impact on application performance
• Deep expertise in modern software development tools/ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, \xe2\x80\xa6)
• Cloud experience (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code and relevant tools and libraries such as Terraform, Ansible, and Packer
• Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab)
• Experience with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm
• Experience in workflow orchestration with tools such as Argo Workflow, Airflow, and scientific workflow tools such as Nextflow, Snakemake, VisTrails, or Cromwell
• Demonstrated excellence with agile software development environments using tools like Jira and Confluence
• Deep familiarity with the tools, techniques, optimizations in high-performance applications space, including engagement with the open-source community (and potentially making contributions to such tools)
• Experience with establishing software engineering ways of working and best practices for a team (whether informally or as formal SOPs etc)
• Experience with agile planning and execution processes for software delivery

GSK offers a competitive compensation package inclusive of the following: Competitive base salary, annual bonus based on company performance, access to healthcare and wellbeing programs, retirement savings program, paid time off, and employee recognition programs which reward exceptional achievements. The salary range for this role is: $168,972 to $228,609

GSK is a global biopharma company with a special purpose \xe2\x80\x93 to unite science, technology and talent to get ahead of disease together \xe2\x80\x93 so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns \xe2\x80\x93 as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it\xe2\x80\x99s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We\xe2\x80\x99re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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GlaxoSmithKline