Observability Operations Engineer

Job Description

Observability Operations Engineer

Must Have Technical/Functional Skills

• Strong Observability Administration experience with Dynatrace, Splunk, and OpenSearch/Elasticsearch.
• Hands-on experience with monitoring, logging, tracing, alerting, dashboards, and platform performance tuning.
• Strong knowledge of Linux, Kubernetes, and cloud environments.
• Experience with Grafana, Prometheus, OpenTelemetry, and related observability technologies.
• Automation experience using Python/Shell scripting and REST APIs.
• Experience supporting enterprise-scale production environments, troubleshooting, and RCA.

Roles & Responsibilities

• Administer and optimize enterprise Dynatrace, Splunk, and OpenSearch/Elasticsearch platforms.
• Maintain platform availability, scalability, performance, security, and reliability.
• Build and manage monitoring, logging, tracing, dashboards, alerts, and operational metrics.
• Troubleshoot production issues and perform root cause analysis using observability tools.
• Support Linux, Kubernetes, container, and cloud-based environments.
• Automate operational activities and drive self-healing and AI-assisted operations.
• Manage upgrades, patching, capacity planning, backups, and operational governance.
• Collaborate with SRE, DevOps, Platform, Infrastructure, and Application teams.

Generic Managerial Skills, If any

Good Communication and assertiveness, Team Player

Salary Range- $100,000-$120,000 a year