Job Description

The ideal candidate will have excellent experience working with Kubernetes and KubeFlowWhere they devised and deployed large scale production infrastructure and platforms for scientific use cases The successful candidate will be part of a new collaborative team of multidisciplinary engineers and together have the chance to create tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe Our data science environments will support major AI initiatives such as clinical trial data analysis knowledge graphs patient safety systems As a strong software developer with an interest in building complex systems, you will be responsible for inventing how we use technology machine learning and data to enable the productivity of AstraZeneca You will help design build, deploy and develop our next generation of data engines and tools at scale You will be bridging the gap between science and engineering and functioning with deep expertise in both worldsYou will have the opportunity to learn many cutting edge technologies around Machine Learning Platform You will push the boundaries to test develop and implement new ideas, technology and opportunitiesKey AccountabilitiesCollaborate closely with data science teams to design, deploy and manage Kubernetes platform for Machine LearningProvide the necessary infrastructure and platform to support the deployment and monitoring of ML solutions in production. Optimizing solutions for performance and scalabilityDeployment of systems, applications, and tooling for data science on AWS cloud environmentsLiaise with BTG data scientists to understand their challenges and work with them to help productionise ML pipelines models and algorithms for innovative science.Take responsibility for all aspects of software engineering from design to implementation QA and maintenance with the support from ML expertsRequirementsEight plus years or equivalent experience architecting and managing large Kubernetes clusters Experience of managing service mesh, such as IstioExperience of Kubernetes ML platforms and toolkits KubeflowCertified Kubernetes Administrator Developer Experience of scheduling strategies on clusters with different node typesModern DevOps mindset using best of breed DevOps toolchains such as Docker Git JenkinsExperience with infrastructure as code technology such as Ansible Terraform and Cloud FormationExperience managing and automating real-world platforms/applications on AWSStrong software coding skills with proficiency in Python however exceptional ability in any language will be recognizedExperience with system monitoring tools such as Grafana, Prometheus, Thanos etcExperience with Continuous Integration and the building of continuous delivery pipelines such asHelm ArgoCDOther Desirable SkillsExperience with open-source and cloud native Machine Learning Platforms and ToolkitsDemonstrable knowledge of building MLOPs environments to a production standardUnderstanding of Kubernetes internal networking and its effect on the performance of multi node GPU ML trainingExperience of declarative management of Kubernetes objects using tools such as: kustomizeMulti cloud experience AWS Azure GCPData storage experience with RDBMS and NoSQL technologiesExperience of mentoring, coaching and supporting less experienced colleagues and clientsExperience of SAFe agile principles and practices

Virtusa