DevOps Engineer (GitOps Specialist)

NCS: Advance our communities, bring people together to make the extraordinary happen
恩士迅:智应万变 慧通未来
我们是来自新加坡的知名国际IT人才和解决方案服务商，我们拥有强大的业务网络、覆盖亚大地区的20余个城市，全年同时进行交付的项目超过 4,000个。最近，恩士迅于2022年在中新广州知识城设立了新的大湾区创新科技交付中心(GBnDC)。该交付中心有助于推动数字经济更加快速地增长，井面向大湾区乃至全球的企业，提供更加深入的技术服务和支持。作为中国新加坡重点共建起步项目，我们正蓬勃发展。
Key Responsibilities:
• Design, implement, and manage GitOps workflows utilizing ArgoCD for continuous deployment and delivery of applications and infrastructure changes.
• Develop and maintain CI/CD pipelines for automated testing, building, and deploying applications on Kubernetes using Jenkins.
• Collaborate with development, operations, and data engineering teams to optimize workflows and enhance productivity.
• Configure and manage Kubernetes clusters to support scalable and reliable data platform.
• Implement monitoring, logging, and alerting solutions to ensure high availability and performance of data platform services.
• Automate infrastructure provisioning and configuration using tools like Terraform, Helm, Kustomize, and Ansible.
• Work closely with Bitbucket repositories to ensure version control, code reviews, and collaboration best practices.
• Troubleshoot issues related to deployment, performance, and scalability in Kubernetes-based environments.
Qualifications:
• Bachelor's degree in Computer Science, Engineering, or related field.
• Strong experience with Kubernetes and containerization technologies (Docker, Podman).
• Proficiency in Git version control system and experience with Git branching strategies.
• Hands-on experience with ArgoCD, ArgoWorkflow, and related GitOps practices.
• Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
• Familiarity with infrastructure as code tools like Terraform, Helm, Kustomize, and Ansible.
• Solid understanding of networking, security, and monitoring concepts in Kubernetes environments.
• Strong scripting and automation skills (Bash, Python, or similar).
• Excellent problem-solving and communication skills.
• Ability to work effectively in a fast-paced, collaborative environment.
Nice to Have:
• Certification in Kubernetes (CKA, CKAD) or related technologies.
• Knowledge of data processing frameworks like Apache Spark, Kafka, or Flink.
• Familiarity with Agile/Scrum methodologies.