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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.

Site Reliability Engineer, Data Infrastructure (2027 Graduate)