Cloud EngineerAt AstraZeneca we turn ideas into life changing medicines. Working here means being results-oriented, thinking big and working together to make the impossible a reality. We’re passionate about the potential of science to address the unmet needs of patients around the world. We commit to those areas where we believe we can really change the course of medicine and bring big new insights to life.
We have a new opportunity for a Cloud Engineer to join us.
AstraZeneca has recently launched a Data Science and Artificial Intelligence (AI) transformation programme to position us at the forefront of our field over the coming years. This includes significant investment in cutting edge machine learning and automation techniques, supported by an uplift in our data quality, standards and data engineering. We are expanding our team of highly skilled and talented individuals who are helping to enable and evolve our DevOps capabilities. This is an exciting opportunity for someone who craves working with new technologies and is looking for responsibility, ownership and variety. You’ll be regularly challenged with new technologies, services and ways of working in a large enterprise-scale environment.
We are looking for a Cloud Engineer to help us build Cloud capabilities and tooling to support DevOps and development capabilities. We’re looking for someone who can work alongside multiple DevOps and development teams and who is self-motivated and able to actively contribute new ideas to the Cloud platforms and services we support. The focus is very much on enabling these teams to deliver independently so there is a heavy focus on automation, self-service, provision of guardrails, and baking of process and governance into workflow and technology.
In your role as a Cloud Engineer you’ll be working in an Agile way with software engineers, data engineers, data scientists and solution architects to build and manage a range of Cloud capabilities and infrastructure services from micro-services applications running on Kubernetes and Docker to data analytics applications running AI, Machine Learning and Big Data platforms.
Essential skills and experience
Our purpose is ambitious and so is our approach. Becoming a more agile and creative company means building a dynamic, inspiring culture where we celebrate diverse, bold thinking and act with a sense of urgency. We are courageous, taking risks and learning from both success and failure. We are curious, creative, and open to new ideas and ways of working. Above all, we are passionate about science and driven to always put patients first. Join us and be part of an outstanding place to work; an environment that energizes and empowers each of us to achieve our goal to develop and deliver medicines