Observability Engineer

Job Description

We are looking for an experienced Observability Engineer to design, implement, and maintain enterprise observability solutions across cloud-native and distributed environments. The ideal candidate should have strong hands-on experience with Dynatrace, Splunk, OpenSearch/Elasticsearch, Kubernetes, Linux, and modern observability practices.

Key Responsibilities

• Design, implement, and maintain enterprise-wide observability and monitoring solutions.
• Configure and administer Dynatrace for application performance monitoring, infrastructure monitoring, distributed tracing, and real-user monitoring.
• Develop and manage Splunk dashboards, alerts, searches, and monitoring solutions.
• Work with OpenSearch/Elasticsearch for centralized logging, log analytics, indexing, and visualization.
• Monitor Kubernetes clusters, containers, microservices, and cloud-native applications.
• Implement monitoring for application metrics, logs, traces, and events.
• Develop and maintain dashboards, alerts, SLOs, SLIs, and operational metrics.
• Troubleshoot application, infrastructure, and performance issues using observability tools.
• Configure APM, distributed tracing, log aggregation, and infrastructure monitoring.
• Integrate observability platforms with CI/CD pipelines and cloud-native environments.
• Work with development and DevOps teams to identify performance bottlenecks and production issues.
• Automate monitoring and observability tasks using Python, Shell scripting, or similar technologies.
• Support incident management, root-cause analysis, and production troubleshooting.
• Implement observability best practices across Linux, Kubernetes, microservices, APIs, and cloud platforms.
• Ensure monitoring solutions provide actionable insights for application availability, performance, and reliability.

Required Skills

• Strong experience as an Observability Engineer / SRE / Monitoring Engineer / APM Engineer.
• Hands-on experience with Dynatrace.
• Strong experience with Splunk.
• Experience with OpenSearch and/or Elasticsearch.
• Strong knowledge of Kubernetes and containerized environments.
• Good Linux administration and troubleshooting skills.
• Experience with cloud-native observability.
• Strong understanding of logs, metrics, traces, APM, and distributed tracing.
• Experience creating monitoring dashboards, alerts, and performance reports.
• Knowledge of REST APIs and scripting/automation.
• Experience with microservices and distributed applications.

Preferred Skills

• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of Prometheus and Grafana.
• Experience with OpenTelemetry (OTel).
• Knowledge of Docker and CI/CD pipelines.
• Experience with Python, Shell, or PowerShell scripting.
• Understanding of SRE practices, SLI/SLO/SLA, and error budgets.
• Experience troubleshooting high-volume production environments.