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SRE Engineer

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Job Overview
Job ID: J53409Job Title:
SRE Engineer
Location: Phoenix, AZ
Duration: 12 Months + Extension
Domain Exposure: Telecom
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2CView All Jobs
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Job Description: We are looking for an experienced Site Reliability Engineer (SRE) with strong expertise in observability, monitoring, logging, tracing, and alerting. The ideal candidate will have hands-on experience with OpenTelemetry, Prometheus, Grafana, Jaeger, and OpenSearch/ELK, along with scripting and CI/CD automation skills.
Required Technical Skills:
  • SRE, Observability, Monitoring, or Platform Engineering.
  • Strong hands-on experience with OpenTelemetry (OTEL), Prometheus, Grafana, Jaeger, and OpenSearch/ELK.Experience building monitoring dashboards, logging, distributed tracing, and alerting solutions.
  • Hands-on experience with synthetic monitoring and proactive reliability engineering.
  • Proficiency in Python, Bash, and Shell scripting for automation and integrations.
  • Experience with Docker, Git, GitHub Actions, Jenkins, and CI/CD pipelines.
  • Working knowledge of GCP Cloud Monitoring and cloud-native observability tools.
  • Familiarity with Service
  • Now, Jira, Agile/Scrum, and incident management processes.
Key Responsibilities: Design, implement, and maintain monitoring and observability solutions. Build dashboards and configure alerts to monitor application and infrastructure health. Implement centralized logging and distributed tracing. Use OpenTelemetry and related tools to improve system visibility. Develop automation scripts using Python, Bash, and Shell. Support proactive monitoring and identify reliability issues before they affect users. Integrate monitoring tools into CI/CD pipelines. Troubleshoot production incidents and support root cause analysis. Collaborate with engineering and platform teams to improve system reliability and performance. Apply NowEqual Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law. Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.