Remote Senior SRE — Azure Observability & Readiness

Encora

Comisión de Fomento de Perú

Remote

ARS 136,430,000 - 227,383,000

Full time

2 days ago

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Job summary

Coforge is seeking a Senior Site Reliability Engineer (SRE) focused on Application Observability & Readiness in Azure. You will work with global teams to design and implement monitoring, tracing, and dashboards across applications and services.

Join a role that emphasizes SLIs/SLOs, production readiness, and proactive problem prevention, using Azure Monitor, Application Insights, New Relic, and Log Analytics to improve reliability and visibility.

Qualifications

Strong experience with Microsoft Azure IaaS environments.
Hands-on experience with application observability, monitoring, and reliability engineering practices.
Mandatory experience with DBT, Databricks, and SQL (minimum 1 year).
Experience implementing and managing APM solutions such as Application Insights, New Relic, or similar platforms.
Experience designing dashboards and monitoring solutions using Azure Monitor, Application Insights, and Log Analytics (KQL).
Familiarity with CI/CD environments including Azure DevOps and GitHub Actions.
Solid understanding of cloud-native architectures and distributed application systems.
Practical SRE mindset with incident analysis and proactive problem prevention.
Strong verbal and written English communication skills for global collaboration.

Responsibilities

Collaborate with development teams to design and implement monitoring, alerting, dashboards, and APM instrumentation across applications and services.
Lead the implementation, configuration, and optimization of Application Performance Monitoring (APM) solutions.
Apply observability best practices using tools such as Azure Monitor, Application Insights, New Relic, and Log Analytics (KQL).
Enable code-level instrumentation, distributed tracing, and structured logging to improve application visibility and reliability.
Design and maintain application-level monitoring dashboards and operational health metrics.
Define and implement SLIs/SLOs and effective alerting strategies based on latency, error rates, traffic, and saturation.
Continuously improve monitoring and alerting through production insights and incident learnings.
Participate in production readiness reviews, identifying operational risks and observability gaps before deployment.