Site Reliability Engineer – SRE / Data & Platform
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Summary
Site Reliability Engineer owning the reliability, availability and performance of high-traffic production systems: builds observability/monitoring and alerting, supports Kubernetes and AWS/GCP/Azure infrastructure, maintains CI/CD and GitOps workflows, automates with Python, and helps run data pipeline/streaming platform workloads, with on-call participation.
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
- 3–7 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.