-Design and implement CI/CD pipelines to automate application deployment and infrastructure provisioning.

-Manage and optimize GCP resources such as Compute Engine, Kubernetes Engine, Cloud Storage, and BigQuery.

-Ensure system reliability, scalability, and performance through monitoring and logging tools like Stackdriver.

-Collaborate with development teams to integrate DevOps practices into the software development lifecycle.

-Implement Infrastructure as Code (IaC) using tools like Terraform or Deployment Manager.

-Enforce security best practices, including IAM roles, firewall rules, and data encryption.

-Automate repetitive tasks and processes to improve operational efficiency.

-Troubleshoot and resolve issues in production and non-production environments.

-Conduct regular audits and reviews of cloud infrastructure to ensure compliance with organizational policies.

-Mentor team members on DevOps tools, practices, and GCP-specific technologies

-University Degree (or above) in Computer Science, Software Engineering, or a related discipline.

-Excellent written and spoken communication skills in English is a must

-5 years above with experience on devops and famliar with tooling and programing on Git / Jenkins / NEXUS, etc.

-Demonstrable 5+ years of excellent experience in Cloud native technologies, include but not limited for those popular ones on GCP, AWS,. Experience on GCP is desirable but not essential.

-Proven Excellent automation capabilities when applying the Infrastructure as Code and DevSecOps into daily work, especially for automated deployment and release management, by using technologies include but not limited, Git, Terraform, Groovy, Ansible, Python, Shell with Github, Jenkins etc. Deep understanding of CI/CD process is a must

-Proven experience/knowledge on GitOps, Argo CD or equivalence

-Good knowledge and hands-on experience with the popular technologic stack like Kubernetes, Kafka, sql/nosql database, Redis, Elasticsearch and more

-Good experience on building monitoring and/or observabilities by using AppDynamic, Prometheus, Grafana, ELK stack and other equivalences.

-Proven experience developing automation or application with at least one high level language, Java and/or Python is desirable but might also accept other language

-Any deep knowledge of databases, e.g. MySQL, MongoDB, PostgreSQL, Redis, Cassandra HBase etc, will be a big plus

-Excellent experience with the micro services with containerized technologies like Docker and Kubernetes, and/or services/data mesh development patterns