Compute Platform Engineer I at GSK in Seattle, WA

Summary: GSK is a global biopharma company focused on uniting science, technology, and talent to advance healthcare. They are seeking a Compute Platform Engineer I to design, build, and operate tools and services that enhance data-driven solutions for scientific and engineering challenges within the organization. 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 Required Qualifications: - Bachelor's degree in Data Engineering, Computer Science, Software Engineering or related field - Experience in programming language: e.g., Python, Go, C++, Scala, Java, including toolchains for documentation, testing, and operations / observability - Experience in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, …) - Cloud experience (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) - Experience in Linux/Unix Preferred Qualifications: - Experience with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm - Experience with low level application build 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 - Experience 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) Required Skills: Python, Cloud experience, CI/CD implementations, Linux/Unix Important Skills: Docker, Kubernetes, Workflow orchestration, Application performance tuning Nice-to-Have Skills: Agile development, DevOps, Metrics monitoring, Documentation Benefits: Health care and other insurance benefits (for employee and family), Retirement benefits, Paid holidays, Vacation, Paid caregiver/parental and medical leave