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.
Responsibilities
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.
Qualifications
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