Site Reliability Engineer

hace 7 días

Colombia MAS Global Consulting A tiempo completo

Who We Are
At MAS Global Consulting, we bring together diverse engineering talent and meaningful work opportunities with global clients who value innovation, quality, and people-first collaboration. Our mission is to help organizations build scalable, modern, and resilient platforms while enabling our consultants to grow in their careers.
We are proud to partner with Affirm, a leading fintech company known for strong engineering culture and technical excellence. In this role, you will join Affirm's Observability organization—a key team responsible for improving system visibility, debugging workflows, and operational efficiency at scale.
Who You Are
You are a Backend Software Engineer with DevOps experience who enjoys working with observability systems, log pipelines, and infrastructure automation. You are analytical, detail-oriented, and motivated by solving high-impact engineering problems. You thrive in collaborative environments and are comfortable driving projects independently from discovery through delivery.
You bring curiosity, adaptability, strong communication, and a willingness to learn new tooling quickly.
  What You'll Do
  • Contribute to observability-focused initiatives such as:
    a) Analyzing log data patterns to identify major sources of log volume and associated cost drivers.
    b) Reviewing Python and Kotlin codebases to remove unused log events.
    c) Supporting developers by helping them troubleshoot issues with Affirm's observability configuration tooling.
  • Collaborate closely with product, infrastructure, data, and SRE teams to understand pain points and translate them into simple, effective solutions.
  • Document all project steps, findings, and recommendations to support transparency, maintainability, and ongoing improvements.
What You Bring
Must-Have Qualifications
  • 2–4 years of experience in backend development, infrastructure engineering, or Site Reliability Engineering.
  • Experience working with large-scale observability systems (e.g., 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 independently drive a project from requirements clarification through analysis, execution, and delivery.
  • Strong analytical and problem-solving capabilities.
Nice-to-Have Qualifications
  • Experience with observability tooling integrated into distributed systems.
  • Familiarity with Python, Kotlin, or log-processing frameworks.
  • Exposure to cost-optimization or platform modernization initiatives.
  • Experience contributing to platform-level services or shared infrastructure used by multiple teams.

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