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Pinpoint Asia is seeking a hands-on SRE/Cloud Operations Engineer in Hong Kong to manage production Kubernetes workloads, deployments, and monitoring, ensuring platform reliability and resilience.
You will automate repetitive tasks with Python and Bash, audit vendor materials for security, and provide on‑call support for maintenance and incidents in a large-scale microservices environment.
About the Client: An established enterprise in Hong Kong expanding its microservices architecture. They are actively building out their platform reliability functions and need a hands‑on engineer who can transition their infrastructure operations from manual support to automated SRE practices.
The Role & Landscape:
Administer production Kubernetes environments, handling application deployment, configuration, and monitoring.
Investigate production incidents, run root‑cause analysis, and deploy corrective actions.
Audit vendor deliverables—including technical docs, source code, and deployment materials to enforce internal security guidelines.
Script in Python and Bash to replace repetitive manual operational tasks with standardized workflows.
Provide essential support outside standard office hours for scheduled maintenance and critical incident handling (compensation leave provided).
What We Are Looking For:
Degree in Computer Science, Information Technology, or a similar field.
At least 3 years of IT experience, with a minimum of 2 years focused on enterprise system support or application implementation.
Solid, practical experience with Docker and Kubernetes operations (configuration, troubleshooting, monitoring).
Proven scripting skills in Bash and Python.
Fluency in written and spoken English, Cantonese, and Mandarin is mandatory.
Why Apply To This Role: This isn't a traditional L2 ticketing job. You will be actively writing automation scripts, auditing vendor code, and managing containerized workloads in production. It is a highly practical role for someone looking to cement their career in Site Reliability Engineering within a large-scale environment.