Cloud Engineer

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. We also conduct annual research with more than 12,500 insurance consumers in 22 key markets around the world, ensuring our solutions are always imbued with the voice of today’s consumers.

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.

Roles & Responsibilities

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.

Core competencies

You 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

Required skills & experience

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

Our recruitment process

If selected for an interview, you can expect the following stages :

Screening interview with HR (online)

Interview with the hiring team & manager (online or in-person)

Technical test

The company working language is English. All employees should speak, read and write English to a sufficient level in order to communicate and operate effectively in the organisation.