Senior Observability Engineer
HybridHyderabad, Telangana, India
Job Summary
Guide observability best practices across Experian's technology ecosystem, focusing on Dynatrace, automation, telemetry onboarding, and cloud infrastructure monitoring. Manage Dynatrace solutions to monitor applications, infrastructure, services, and user experience while developing Python and Shell scripts to improve monitoring setup, alerting, reporting, and operational workflows. Configure alerts to reduce noise and false positives, collaborate with DevOps, Cloud Engineering, and Platform teams to embed observability into the software delivery lifecycle, and help develop SLIs, SLOs, and error budgets. Troubleshoot complex monitoring issues across distributed systems and support continuous improvement of incident management workflows. This hybrid role reports to an Engineering Manager within Experian IT Services, supporting business-critical IT ecosystems in financial services, healthcare, and automotive sectors.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 7–10 years of experience in Observability Engineering, Monitoring Engineering, DevOps, Cloud Operations, or related technology roles
- Hands-on experience with Dynatrace as a primary observability platform
- Automation scripting experience using Python and Shell scripting
- Hands-on experience managing or supporting infrastructure in AWS Cloud environments
- Experience with infrastructure monitoring, application performance monitoring, log monitoring, alerting, dashboards, and event correlation
- 5+ years of experience working in DevOps environments with exposure to CI/CD, automation, cloud platforms, and operational support practices
- 3+ years of experience working with your partners, development teams, platform teams, and operations teams to implement monitoring and observability solutions
- Hands-on experience with open-source observability solutions like Prometheus and Grafana
- Any cloud observability certification (e.g., Dynatrace, Datadog, and Splunk)
- Cloud certifications (e.g., AWS Solutions Architect, DevOps Engineer, Developer – AWS preferred)
- 3+ years of experience with Kubernetes and containerized environments
- Knowledge of ITIL, ITSM, and ServiceNow Event Management
- Experience with Terraform for infrastructure automation and provisioning
- 3+ years of experience with Kubernetes and Docker
- Hands-on experience with Datadog
- Working knowledge of OpenTelemetry for standardized telemetry collection across traces, metrics, and logs
- Familiarity with ITIL, ITSM, incident management, and ServiceNow Event Management
- This is a hybrid role
- Must be able to lift 50 lbs
Desired Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 7–10 years of relevant experience in Observability, Monitoring, DevOps, Cloud Operations, or Infrastructure Engineering
- Hands-on experience with Dynatrace
- Scripting experience using Python and Shell
- Hands-on experience with AWS infrastructure monitoring
- Experience with DevOps practices, automation, cloud infrastructure, and production operations
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