Come and join us to shape the future of the insurance industry!
SCOR Digital Solutions is a global insurance consultancy helping insurers worldwide to grow sustainably. A critical part of the SCOR Group, we are specialised in developing industry-leading digital solutions for every part of the consumer journey, from underwriting, to engagement, to claims. By combining SCOR’s comprehensive data and analytical expertise with the award-winning capabilities of our in-house product and technical teams, our solutions are helping insurers to transform the experience of their consumers worldwide.
As a Cloud Engineer, you will be responsible for developing, optimizing, and maintaining our multi-cloud platform that facilitates infrastructure provisioning and deployment of our solutions. You will become part of a global team of cloud engineers that strives to be on the cutting edge of cloud innovations.
This job has a broad remit encompassing – but not limited to – the work areas below:
- Design, develop, deploy, and maintain modular cloud-based systems using cloud native technologies such as Kubernetes
- Implement optimal cloud solutions for the platform to fulfill requirements set by the PO (architecture, storage & compute services, cost monitoring and optimization, role management)
- Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues
- Audit cloud infrastructure and make continuous recommendations for improvements
- Collaborating with engineering and development teams to evaluate and identify improvements/extensions needed for our multi-cloud platform
- Maintain a good working relationship with the colleagues in our multi-national team and global stakeholders
- Keep organized on tools such as Confluence to ensure business continuity.
- Receive, process and document feedback from stakeholders and development teams to continuously improve our infrastructure.
The successful candidate for this job will be enthusiastic about the responsibilities above, and will have a skillset which complements the job well, including:
- Experience working on open-source projects
- Experience with container technologies like Docker
- Experience with Kubernetes on topics such as:
- Ability to manage application deployment on a K8S platform (pods, worker nodes, node selector, etc.)
- In-depth knowledge of routing network traffic and network security with K8S
- In-depth knowledge of available provisioning storage options and limits (persistent storage)
- In-depth knowledge of Kube security and security mechanisms available to security between containers, pods, and the Kubernetes cluster
- In-depth knowledge of Kubernetes High Availability (auto-scaling, probes, load balancing)
- In-depth knowledge of Multi-Tenancy in Kubernetes
- Experience with cloud-native technologies (CNCF)
- Understanding of microservice design and architectural patterns
- Maintenance and troubleshooting of cloud infrastructure including clusters
- Experience managing k8s clusters adapted to Data Science workloads
- Experience mixing different cloud services within the same projects
- Experience in securing cloud applications (certificate management, HTTPS security, OAuth2 authentication, credential management)
- Experience with infrastructure provisioning best practices with infrastructure-as-code
- Experience with tooling around CI/CD
- No problem expressing yourself in professional and technical English in writing and speaking
- Strong analytical skills and know how to identify risks and opportunities.
- Experience with security and compliance-related challenges
- Knowledge of working using Agile/Scrum-principles
Nice to have
- Experience with various PaaS components offered by GCP, AWS and/or Azure
- Experience with AliCloud/Aliyun
- Minimal five (5) years of experience as a Cloud Engineer or similar role with at least one of the major cloud providers (Azure, AWS and/or GCP)
- Azure, AWS, and GCP certifications preferred
