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Site Reliability Engineer – SRE Data & Platform


Job Location:

Hong Kong - Hong Kong

Monthly Salary: Not provided by the employer
Posted: 8 October 2026 (Yesterday)
Application Deadline: 5 January 2027
Vacancies: 1 Vacancy

Job Summary

We are looking for a Site Reliability Engineer with strong production reliability and observability experience together with hands-on exposure to data pipelines streaming or data platforms.

You will work in a fast-paced technology environment supporting high-performance production systems with a focus on reliability monitoring automation and system performance.

Key Responsibilities
  • Own and improve the reliability availability and performance of production systems.
  • Build and enhance observability monitoring dashboards and alerting for critical services.
  • Troubleshoot production issues perform root-cause analysis and drive reliability improvements.
  • Support Kubernetes/cloud-based infrastructure and production workloads.
  • Develop and maintain CI/CD and GitOps workflows.
  • Work with data pipelines streaming workloads or data platform infrastructure to support reliable and scalable data processing.
  • Monitor data flow system performance and potential issues such as latency failures capacity constraints and data loss.
  • Develop automation and operational tools using Python or other programming/scripting languages.
  • Participate in production support and on-call activities.
Requirements
  • 37 years of experience in SRE DevOps Platform Engineering Production Engineering or a related role.
  • Strong hands-on experience with production systems monitoring/observability and incident troubleshooting.
  • Must have practical exposure to data-related infrastructure such as:
    • Data pipelines / data ingestion
    • Streaming platforms
    • ETL / ELT
    • Kafka / Kinesis or similar technologies
    • Spark / Flink or similar processing frameworks
    • Data platforms / data lakes / OLAP databases
  • Experience with Kubernetes and cloud environments such as AWS GCP or Azure.
  • Experience with CI/CD GitOps or infrastructure automation.
  • Proficiency in Python or another programming/scripting language.
  • Good understanding of system performance reliability and troubleshooting.
  • Strong communication and problem-solving skills.
  • Hong Kong-based candidates are highly preferred.