SRE Engineer

MACHINE LEARNING TECHNOLOGIES LLC

Phoenix (AZ)

On-site

USD 110,000 - 150,000

Full time

21 hours ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced Site Reliability Engineer to advance observability, monitoring, logging, and tracing capabilities for our telecom-focused platform. The role emphasizes hands-on work with OpenTelemetry, Prometheus, Grafana, Jaeger, and OpenSearch/ELK, plus scripting and CI/CD automation.

You will design and maintain monitoring, implement centralized logging, and build proactive reliability tooling while collaborating with platform teams to reduce

Qualifications

  • Experience as SRE/Platform Engineer focusing on observability, monitoring, logging, tracing and alerting.
  • Hands-on skills with OTEL, Prometheus, Grafana, Jaeger and OpenSearch/ELK.
  • Proficient in Python, Bash or Shell scripting for automation.
  • Experience building monitoring dashboards, logging, distributed tracing, and alerting solutions.
  • Experience with CI/CD tooling and cloud-native observability (GCP).

Responsibilities

  • Design, implement, and maintain monitoring and observability solutions.
  • Build dashboards and configure alerts for health of apps and infrastructure.
  • Implement centralized logging and distributed tracing.
  • Use OpenTelemetry to improve system visibility.
  • Develop automation scripts in Python and shell.
  • Support proactive monitoring and RCAs for incidents.
  • Integrate monitoring tools into CI/CD pipelines.
  • Troubleshoot production incidents and perform root cause analysis.
  • Collaborate with engineering to improve reliability and performance.

Skills

SRE / Site Reliability Engineering
Observability
OpenTelemetry
Prometheus
Grafana
Jaeger
OpenSearch / ELK
Python
Bash / Shell scripting
CI/CD
Docker
Git
GitHub Actions
Jenkins
Cloud Monitoring (GCP)
Incident management
Jira / Agile/Scrum

Tools

Docker
Git
GitHub Actions
Jenkins

Job description

Job Overview

Job ID: J53409

Job 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, C2C

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 ServiceNow, 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.
Equal 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.

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