Site Reliability Engineer – SRE / Data & Platform

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.

• 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.

• 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.

Performance Production Support Data Cloud Support Data Processing ETL Pipelines Spark Kafka Gcp Analysis CI/CD Azure Reliability Availability DevOps Infrastructure Automation Programming AWS Kubernetes Databases Troubleshooting Engineering Python Communication