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Manchester, GB

Cloud Solution Engineer (80-100%)

About Swiss Re Corporate Solutions 


Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.



About the Role


We are building a greenfield, cloud-native risk data and services platform to deliver cutting-edge risk intelligence insights and risk transfer solutions to our clients using Palantir Foundry and Microsoft Azure as a key enabler. This is an opportunity to join a fast-paced working environment that leverages the latest technologies to provide unique and compelling solutions in a competitive marketplace. We operate with a startup mentality, challenge boundaries, and strive to combine leading-edge technology capabilities with new and emergent business models.

Your responsibilities


  • Work closely with engineering teams to deliver a solid technical foundation based on DevSecOps best practices and end-to-end automation

  • Implement secure, well-designed and scalable apis that power front-end solutions

  • Driving containerized solutions using orchestrators and event-driven workloads

  • Understand how data lake technologies work and how to ingest data from disparate sources

  • Design and implement security across all layers from network edge to application to row-level access

  • Define how to manage multiple environments and many disparate resources

  • Act as a leader and have a heightened understanding of emerging cloud technologies

About You


Are you eager to disrupt the insurance industry with us and make an impact? Do you wish to have your talent recognized and rewarded? Then join our growing team and become part of the next wave of insurance innovation. 

Your experience:


  • Multiple years of hands-on experience with Microsoft Azure building and deploying applications

  • Strong programming skills in C#/.Net

  • Experience with container development and orchestration

  • Good understanding of data science techniques with modern programming languages and analytical frameworks

  • Bachelor or Master's Degree in a relevant quantitative field, e.g. Computer Science, Mathematics, Engineering, Statistics or other is an advantage

  • Fluent in English

  • Strong work ethic and self-starter who can deliver results quickly

  • Good communication skills and the ability to translate technical concepts

  • Knowledge of insurance concepts preferred but not required



We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.


We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.



Reference Code: 116201 


Job Segment: Claims, Insurance

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