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Full Time Site Reliability Engineer, Data Infrastructure (2027 Graduate) Jobs, in Shopee - Maukerja

Site Reliability Engineer, Data Infrastructure (2027 Graduate)

Shopee

Full Time

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Department Engineering and Technology
LevelEntry Level
LocationSingapore

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

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:
  • 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.

Requirements:
  • 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.


Good To Have

  • 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.

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