Job Description - Sr. Support Analyst, Sales & Research IT, IT
Key Areas of Responsibilities
On-the-ground Coordination
Act as the primary Hong Kong-based liaison between the local TechOps team, clients, internal staff, and global Sales, Research, and Asset Management development teams.
Coordinate operational activities, ensuring alignment of technology deliverables with business priorities in all three domains
Operational Standards & Culture
Ensure all Research and Asset Management IT teams maintain TechOps standards and procedures.
Foster a DevOps mindset and culture across the Sales, Research, and Asset Management technology functions for greater automation, collaboration, and operational efficiency.
Container Runtime & Development Pipeline Automation
Work with developers to properly onboard applications into the production environment — including research publication tools, sales enablement platforms, and asset management investment systems.
Coordinate deployment processes for containerized environments within Research and Asset Management IT (manage container image repositories, version control, and CI/CD pipelines).
Influence and coach developers to improve logging, application performance metrics, and error diagnostics to strengthen operational reliability in client-facing systems and investment platforms.
Requirements
Bachelor/Master degree, preferrably in IT/Computer Engineering
5-8 years of experience in application support role
Database skills: Postgres, Oracle.
Strong Unix scripting for automation and operational support.
Experience with containerized environments (Docker), Amazon EKS or other Kubernetes orchestration platforms.
Knowledge of RabbitMQ messaging systems.
Conceptual knowledge of deploying applications to cloud environments (AWS or Azure).
Strong stakeholder management skills — able to work across Sales, Research, and Portfolio Management teams.
OS knowledge: Windows 10/7, Red Hat Enterprise Linux (RHEL).
Experience with Kettle Pentaho for ETL and reporting.
Familiarity with Elastic Search, Logstash, Kibana stack (good to have).
Good command of written and spoken English, Chinese proficiency will be advantage
Availability to work various shifts, including evenings, weekends, and HK public holidays as required (with compensation)
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