Site Reliability Engineer – SRE / Data & Platform

eFinancialCareers Ltd.; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

eFinancialCareers Ltd. is seeking a Site Reliability Engineer to strengthen production reliability, observability, and performance across critical services in a fast-paced tech environment.

You will own incident response, build dashboards, and automate CI/CD and GitOps workflows while supporting data pipelines and cloud infrastructure. The role emphasizes collaboration and on-call duties in a HK-based team.

Qualifications

• 3–7 years experience in SRE/DevOps or related roles.
• Hands-on with production systems, monitoring and incident troubleshooting.
• Practical exposure to data-related infrastructure (pipelines, streaming).
• Proficiency in Python or a similar scripting language.

Responsibilities

• Own and improve 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 improvements.
• Support Kubernetes/cloud-based infrastructure and CI/CD/GitOps workflows.
• Work with data pipelines or data platforms to ensure reliable processing.

Skills

SRE/DevOps

Observability

Incident Troubleshooting

Automation

Tools

Kubernetes

AWS

GCP

Azure

CI/CD

GitOps

Python

Spark

Kafka

Job description

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 ResponsibilitiesOwn 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.Requirements3–7 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 ingestionStreaming platformsETL / ELTKafka / Kinesis or similar technologiesSpark / Flink or similar processing frameworksData platforms / data lakes / OLAP databasesExperience 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.