HPC DevOps Lead
Location: Cambridge (UK), Waltham (US), Gothenburg (SWE), Gaithersburg (US), Macclesfield (UK)
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development, and commercialisation of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives and are made to feel valued, energised and rewarded for their ideas and creativity.
ABOUT OUR RESEARCH DATA AND ANALYTICS TEAM
The Research Data & Analytics Team within R&D IT is a global team of highly experienced, skilled data and AI engineers and professionals, passionate about delivering innovative services and products. The mission of our team is to transform the way the R&D discovers and develops medicine through data, analytics, and AI. To achieve this, we partner with scientific teams to deliver ground-breaking capabilities, products and platforms that enable scientists to accelerate medicines that are safe and effective for patients.
SCIENTIFIC COMPUTING PLATFORM
The Scientific Computing platform is a foundational capability to deliver HPC and scaled computing solutions for AstraZeneca's R&D. Embedded within the Research D&A organisation it provides the backbone to domain-specific analytic products around computational chemistry, imaging, multi-OMICs, structural biology, data science and AI engineering.
The SCP team is accountable for the delivery of full-stack analytic products, creating an augmented HPC experience. Combining modern HPC with a powerful DevOps stack and cloud-native technologies is powering AstraZeneca's R&D.
ABOUT THE PLATFORM
The success of a highly empowered and fast pacing DevOps engineering organisation is strongly dependent on the platform, tools and technologies which are readily available to the team. The HPC DevOps Tech Lead is responsible to drive the vision, and strategy realisation of a Platform Ops approach to underpinning the delivery of the Scientific Computing team.
The successful candidate will promote DevOps engineering practices and technologies inside the scientific computing team as well as outside of the enterprise. Seeking opportunities to collaborate across the company or with our industry partners to bolster our ability to deliver impactful outcomes.
The DevOps technology space is fast pacing and under constant innovation. Scouting industry trends and influencing the evolution of the platform will be a key part of the role. As part of the SCP engineering leadership, the candidate will actively drive innovation while harmonising the technology stack between high-performance computing, scaled cloud solutions and modern AI requirements.
The role is on the IC track. It is encouraged to spend 40/30/30 on hands-on development, and leadership activities like coaching, mentoring and driving the Platform Ops strategy.
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