Degree in software engineering, computer science or related field.
Extensive experience (+3 years) in managing Kubernetes(EKS) clusters at scale, with hands-on experience in Kubernetes administration activities such as cluster provisioning, scaling, deployment automation, security, resource optimization, networking and load balancing
Proven experience in managing MSK/Kafka clusters, including setup, configuration, monitoring and scaling with experitise in optimising performance, topics & partitions management and troubleshooting kafka-specific issues in a production environment.
Good experience in a NoSQL database such as AWS DynamoDB
Deep experience (+3 years) in the main AWS services such as data storage (S3, DynamoDB, etc.), networking (VPC, Route 53), security (IAM, Secrets Manager, KMS) and operations (CloudWatch, Cloudtrail, AWS Config, System Manager, Cost Explorer)
Expertise in Terraform/CloudFormation to deploy infrastructure into AWS.
Expertise in Python and ShellScript.
Good understanding in AWS cost as well as the related services that allow you to estimate the cost of your architecture, monitor the actuals as well as being able to identify any risk or potential optimisation at architecture level.
Good understanding of CI/CD pipelines.
Good understanding of git-based VCS such us Github, Gitlab, etc.
Passion to learn & explore new technologies, do research & experimentation as well as propose new ways of solving problems."