What are the responsibilities and job description for the Observability Engineer position at SN Cloud Solutions?
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.
Salary : $50 - $60