System Analyst - Financial Services (Work Life Balance)

• Linux/Shell/Windows/Bash Scripting & Troubleshooting
• Financial Services
• Work Life Balance

Key Responsibilities

• Manage and support enterprise application platforms.
• Deploy, configure, and maintain applications running on Kubernetes environments across development, testing, and production platforms.
• Execute platform upgrades, patches, and maintenance activities while ensuring service continuity and operational stability.
• Support environment migration initiatives, including application deployment and workload transitions between Kubernetes clusters.
• Collaborate with development, infrastructure, and engineering teams to streamline release and deployment processes.
• Implement and maintain CI/CD deployment workflows, ensuring efficient and reliable software delivery.
• Perform Linux system administration activities including configuration management, performance monitoring, security patching, and troubleshooting.
• Develop scripts and automation tools to improve operational efficiency and reduce manual effort.
• Create and maintain technical documentation, deployment procedures, operational runbooks, and best practices.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 3-10 years of experience in application support, platform engineering, DevOps, system administration
• Proficiency in scripting languages such as Bash, Python, or Shell scripting for automation purposes.
• Hands-on experience deploying and managing applications in Kubernetes environments.
• Experience with Kubernetes cluster migration, application deployment, upgrade, and troubleshooting activities.
• Good working knowledge of Linux operating systems and server administration.
• Familiarity with CI/CD tools and deployment automation practices.
• Strong analytical and problem-solving skills with the ability to diagnose complex technical issues.
• Effective communication and stakeholder management skills in a collaborative environment.
• Flexibility to provide support during maintenance windows or critical production deployments when required.
• Experience supporting Atlassian tools (Jira, Confluence)
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, or similar solutions.
• Fluent communication in English and Chinese