About The Role

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.

Key duties and 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.

Required experience & competencies
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:

o Ability to manage application deployment on a K8S platform (pods, worker nodes, node selector, etc.)
o In-depth knowledge of routing network traffic and network security with K8S
o In-depth knowledge of available provisioning storage options and limits (persistent storage)
o In-depth knowledge of Kube security and security mechanisms available to security between containers, pods, and the Kubernetes cluster
o In-depth knowledge of Kubernetes High Availability (auto-scaling, probes, load balancing)
o 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 Education

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