Observability Automation Engineer

Role Summary

We are looking for a highly motivated Observability Engineer to design, implement, and support enterprise observability solutions across cloud and on-premises environments. The ideal candidate will have robust expertise in monitoring, logging, telemetry, automation, and AI-driven operations. This role will partner closely with application, platform, SRE, and infrastructure teams to improve service reliability, accelerate incident resolution, and drive operational excellence through intelligent observability solutions.

Key Responsibilities

Design, deploy, and maintain enterprise observability platforms for monitoring, logging, tracing, and alerting.

Develop dashboards, KPIs, and service health metrics to provide actionable operational insights.

Implement and optimize observability solutions using tools such as Splunk, AppDynamics, or Splunk Observability Cloud platforms.

Automate operational processes, alert management, health checks, and incident response workflows using scripting and orchestration tools.

Collaborate with engineering and operations teams to improve application performance, reliability, and scalability.

Analyze incidents, identify root causes,



and implement preventive measures through proactive monitoring and automation.

ring, Information Technology, or related field.

3+ years of experience in Observability, Site Reliability Engineering (SRE), Infrastructure Engineering, or Operations Engineering.

Strong experience with monitoring, logging, tracing, and performance management platforms.

Proficiency in scripting and automation using Python, PowerShell, Bash, or similar languages.

Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

Knowledge of CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, ARM, etc.), and DevOps practices.

Strong analytical and troubleshooting skills.

Preferred Qualifications

Experience with Microsoft Copilot, Azure OpenAI, Copilot Studio, or other AI-powered engineering tools.

Knowledge of AIOps platforms and machine learning concepts related to observability.

Experience implementing OpenTelemetry standards and distributed tracing solutions.

Familiarity with Kubernetes, containers, and cloud-native monitoring architectures.

Experience building automated remediation and self-healing workflows.

📌 Lead Software Engineer (Chennai)
🏢 Virtusa
📍 Chennai