Site Reliability Engineer – SRE / Data & Platform

We are looking for aSite Reliability Engineer with strong production reliability and observability experience, together withhands-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 enhanceobservability, 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 withdata 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

• 3–7 years of experience inSRE, DevOps, Platform Engineering, Production Engineering or a related role .

• Strong hands-on experience withproduction 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 withKubernetes and cloud environments such as AWS, GCP or Azure.

• Experience with CI/CD, GitOps or infrastructure automation.

• Proficiency inPython 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.