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Observability and Automation Engineer

ICONMA

Role overview

Qualifications

  • Observability Platforms - Dynatrace, Splunk, Grafana, OpenTelemetry
  • Cloud Automation Engineering - AWS, GCP, Python, Terraform
  • SRE / AIOps Expertise - SLIs, SLOs, MTTR, MTTD, Incident Management, AIOps
  • Years of experience: 12.00 Years of Experience

Responsibilities

  • Design and implement end-to-end observability solutions across applications, infrastructure, and cloud environments.
  • Implement and manage metrics, logs, traces, synthetic monitoring, and real user monitoring (MELT).
  • Develop standardized dashboards, telemetry frameworks, and monitoring strategies.
  • Build automation solutions to eliminate repetitive operational tasks.

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

Links

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Job description

Our Client, an IT Services and Consultant company, is looking for an Observability and Automation Engineer for their Remote location.
 
Responsibilities:
  • Observability engineering
  • Design and implement end-to-end observability solutions across applications, infrastructure, and cloud environments.
  • Implement and manage metrics, logs, traces, synthetic monitoring, and real user monitoring (MELT).
  • Develop standardized dashboards, telemetry frameworks, and monitoring strategies.
  • Establish enterprise observability standards and best practices.
  • Automation & toil reduction
  • Build automation solutions to eliminate repetitive operational tasks.
  • Develop self-healing and runbook automation capabilities.
  • Implement automated incident triage and operational workflows.
  • Improve operational efficiency through AI-driven automation.
  • Reliability engineering
  • Define and implement SLIs, SLOs, and alerting strategies.
  • Improve service reliability, availability, and performance.
  • Drive reduction in Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
  • Support incident response and continuous service improvement initiatives.
  • Proactive monitoring & aiops
  • Implement anomaly detection and predictive monitoring.
  • Leverage AIOps capabilities for alert correlation and intelligent incident response.
  • Identify potential issues before customer impact.
  • Enable proactive operational management using telemetry insights.
  • Platform integration
  • Integrate observability platforms with CI/CD pipelines.
  • Connect cloud services and ITSM platforms (ServiceNow).
  • Enable seamless alerting, escalation, and operational workflows.
  • Support Infrastructure as Code (Terraform) based deployments.
  • Collaboration & governance
  • Partner with engineering, product, and operations teams.
  • Establish operational readiness policies and standards.
  • Drive organizational adoption of observability best practices.
  • Mentor teams on observability, automation, and SRE concepts
 
Requirements:
  • Observability Platforms - Dynatrace, Splunk, Grafana, OpenTelemetry
  • Cloud & Automation Engineering - AWS, GCP, Python, Terraform
  • SRE / AIOps Expertise - SLIs, SLOs, MTTR, MTTD, Incident Management, AIOps
  • Years of experience: 12.00 Years of Experience
 
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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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