SRE

Virtusa; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Virtusa is seeking a senior Observability leader in Atlanta, GA to build and guide a high-performance team responsible for proactive detection and rapid troubleshooting of critical services. You will define strategy, champion automation, and collaborate across SRE, platform, and cloud teams.

The role requires 10+ years in infrastructure/SRE/observability and 3+ years of people management, with strong tools experience across Splunk, Datadog, Grafana, and OpenTelemetry.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in infrastructure, operations, SRE, platform engineering, or observability domains.
• 3+ years of people management experience leading technical teams.
• Strong knowledge of observability platforms such as Splunk, Datadog, AppDynamics, Dynatrace, Grafana, Prometheus, OpenTelemetry, or similar tools.
• Experience working in cloud environments (Azure & GCP).
• Experience leveraging Microsoft Copilot, Generative AI, and AI-powered observability capabilities to improve operational efficiency, incident response, and engineering productivity.
• Knowledge of AI-assisted troubleshooting, anomaly detection, root cause analysis, and predictive monitoring solutions.
• Excellent communication, stakeholder management, and leadership skills.

Responsibilities

• Lead and mentor a team of observability engineers supporting enterprise platforms and services.
• Define and execute the observability strategy, standards, and roadmap.
• Oversee monitoring, logging, alerting, tracing, and dashboarding solutions.
• Drive service reliability, incident response readiness, and operational excellence initiatives.
• Collaborate with application, infrastructure, cloud, and SRE teams to improve system health and performance.
• Establish KPIs, SLAs, and operational metrics to measure platform reliability and team effectiveness.
• Manage hiring, performance development, resource planning, and stakeholder communications.
• Ensure adoption of best practices for observability, automation, and proactive problem management.
• Champion the adoption of AI and Copilot-enabled workflows within the Observability organization.
• Evaluate and implement AI-driven monitoring, alert correlation, and incident management capabilities.
• Partner with engineering and platform teams to build intelligent operational dashboards and automated remediation solutions.

Skills

People management

Observability

Cloud platforms

AI-powered observability

Incident response

Stakeholder management

Education

Bachelor's degree in CS/Engineering

Tools

Splunk

Datadog

AppDynamics

Dynatrace

Grafana

Prometheus

OpenTelemetry

Job description

Job Requirements

Key Responsibilities

• Lead and mentor a team of observability engineers supporting enterprise platforms and services.
• Define and execute the observability strategy, standards, and roadmap.
• Oversee monitoring, logging, alerting, tracing, and dashboarding solutions.
• Drive service reliability, incident response readiness, and operational excellence initiatives.
• Collaborate with application, infrastructure, cloud, and SRE teams to improve system health and performance.
• Establish KPIs, SLAs, and operational metrics to measure platform reliability and team effectiveness.
• Manage hiring, performance development, resource planning, and stakeholder communications.
• Ensure adoption of best practices for observability, automation, and proactive problem management.
• Champion the adoption of AI and Copilot-enabled workflows within the Observability organization.
• Evaluate and implement AI-driven monitoring, alert correlation, and incident management capabilities.
• Partner with engineering and platform teams to build intelligent operational dashboards and automated remediation solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in infrastructure, operations, SRE, platform engineering, or observability domains.
• 3+ years of people management experience leading technical teams.
• Strong knowledge of observability platforms such as Splunk, Datadog, AppDynamics, Dynatrace, Grafana, Prometheus, OpenTelemetry, or similar tools.
• Experience working in cloud environments (Azure & GCP).
• Experience leveraging Microsoft Copilot, Generative AI, and AI-powered observability capabilities to improve operational efficiency, incident response, and engineering productivity.
• Knowledge of AI-assisted troubleshooting, anomaly detection, root cause analysis, and predictive monitoring solutions.
• Excellent communication, stakeholder management, and leadership skills.

Preferred

• Experience leading globally distributed teams.
• Strong background in automation, DevOps, and reliability engineering practices.
• Familiarity with enterprise-scale monitoring and incident management processes.

This role will be responsible for building a high-performing observability team that enables proactive detection, rapid troubleshooting, and improved reliability across business-critical services.

Work Experience

• 10-15Years