Remote Observability Lead - Sumo Logic & SRE

E-Solutions; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading technology solutions provider is seeking a Lead Observability Engineer to implement Sumo Logic for a client transitioning from Dynatrace. The ideal candidate will possess deep expertise in Sumo Logic and SRE practices, driving enhancements in observability through designing scalable dashboards and alerting frameworks. This remote role offers a unique opportunity to leverage advanced skills in AWS and Kubernetes to ensure service-level reliability and operational excellence.

Qualifications

• Expert-level experience with Sumo Logic, including dashboarding and alerting.
• Background in SRE, with a focus on SLIs/SLOs and error budgets.
• Proficiency in AWS, specifically CloudWatch and EKS.
• Experience with OpenTelemetry for distributed tracing.
• Strong understanding of Kubernetes metrics and pod health.

Responsibilities

• Lead the implementation of the Sumo Logic observability platform.
• Migrate assets from Dynatrace to Sumo Logic.
• Define SLIs/SLOs and reliability metrics for containerized services.
• Deploy and configure Sumo Logic collectors.
• Design dashboards for service health and performance.
• Implement alerting workflows and ensure best practices.

Skills

Expert-level experience with Sumo Logic

Strong background in Site Reliability Engineering (SRE)

Proficiency in AWS services

Hands-on experience with OpenTelemetry

Strong understanding of Kubernetes metrics

Strong scripting experience with Terraform and Helm

Excellent communication skills

Job description

A leading technology solutions provider is seeking a Lead Observability Engineer to implement Sumo Logic for a client transitioning from Dynatrace. The ideal candidate will possess deep expertise in Sumo Logic and SRE practices, driving enhancements in observability through designing scalable dashboards and alerting frameworks. This remote role offers a unique opportunity to leverage advanced skills in AWS and Kubernetes to ensure service-level reliability and operational excellence.