Site Reliability Engineer

TL;DR

Site Reliability Engineer (Observability): Contribute to observability initiatives such as analyzing log data patterns, reviewing Python and Kotlin codebases, and supporting developers with troubleshooting tooling. Focus on identifying log volume cost drivers, removing unused log events, and improving system visibility and operational efficiency at scale.

Company

Consulting firm partnering with Affirm, a leading fintech company focused on innovation, quality, and strong engineering culture.

What you will do

• Analyze log data patterns to identify major sources of log volume and cost drivers.
• Review Python and Kotlin codebases to remove unused log events.
• Support developers in troubleshooting issues with observability configuration tooling.
• Collaborate with product, infrastructure, data, and SRE teams to address pain points and build effective solutions.
• Document project steps, findings, and recommendations for transparency and maintainability.

Requirements

• 2–4 years in backend development, infrastructure engineering, or Site Reliability Engineering.
• Experience with large-scale observability systems (Prometheus, OpenTelemetry, Fluent, ELK Stack, Splunk, Chronosphere).
• Proficiency with Kubernetes, Terraform, and cloud infrastructure practices.
• Strong scripting and data analysis skills, preferably in Python.
• Ability to drive projects independently from requirements to delivery.
• Strong analytical and problem-solving capabilities.

Nice to have

• Experience with observability in distributed systems.
• Familiarity with Python, Kotlin, or log-processing frameworks.
• Exposure to cost-optimization or platform modernization.
• Contributions to platform-level services or shared infrastructure.