Site Reliability Engineer, Data Infrastructure
Job Description
About The Team
Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.
Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.
The Data Infrastructure (DI) team builds and runs Shopee's big data platforms — storage, batch and stream compute, scheduling, query, and data services — used by business, AI/ML, analytics, and BI teams.
Site Reliability Engineering on this team combines systems and software engineering to keep these platforms reliable, scalable, and efficient to operate.
Job Description
Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.
Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.
The Data Infrastructure (DI) team builds and runs Shopee's big data platforms — storage, batch and stream compute, scheduling, query, and data services — used by business, AI/ML, analytics, and BI teams.
Site Reliability Engineering on this team combines systems and software engineering to keep these platforms reliable, scalable, and efficient to operate.
Job Description
- Improve service reliability across the lifecycle: monitoring, troubleshooting, capacity/health follow-up, and refinement of assigned platform components.
- Participate in on-call: triage and mitigate incidents, contribute to post-incident reviews, and help land lasting fixes.
- Build automation and tooling that reduce operational toil (Shell/Python scripts first; small services when needed).
- Strengthen observability with metrics, logs, dashboards, and actionable alerting.
- Support safe change and operations: releases, rollbacks, configuration changes, and runbook/SOP maintenance.
- Partner with platform and business engineers to diagnose production issues and improve operability.
- Bachelor's degree or above in Computer Science, Engineering, or related fields.
- Solid understanding of Linux fundamentals and the command line.
- Proficient in Shell, and/or another scripting language such as Python, for operational automation.
- Familiarity with OS, networking, or distributed systems fundamentals.
- Internship or project experience with big data / storage / compute stacks (e.g. HDFS, Kafka, Flink/Spark, YARN, or similar).
- Exposure to containers and Kubernetes.
- Hands-on with monitoring/alerting stacks (e.g. Prometheus, Grafana, ELK).
- Familiarity with Git and basic CI/CD.
More Info
About Company
Skills:
Java, C++, OLAP, Big Data, HBase, Sql, Presto, Python, Kubernetes, ClickHouse, Go, HDFS, Druid, Trino
Skills:
Java, Graphql, microservice architecture, Performance Tuning, Nosql, Dashboards, REST, Gcp, RDBMS, Python, Alerts, Go, datastores, Monitoring, runbooks, search analytics, scalable distributed software, JVM Garbage Collection, time-series-database
Skills:
Elk, PowerShell, Bash, Grafana, Datadog, Ios, Microsoft Intune, Microsoft 365, Terraform, Ansible, Macos, Splunk, Python, Windows 10, Azure Entra ID, Graph API, 1E, Lakeside, Nexthink, Microsoft Graph API
Skills:
Scripting, Appdynamics, Prometheus, Cloud Services, Dynatrace, Splunk, Grafana, Automation, Itil, Container platforms
Skills:
Java, Golang, Unix, Networking, Data Structures, HBase, Elasticsearch, Algorithms, Linux, Tcp/ip, Python, Doris, RocksDB, ClickHouse, HDFS