Observability Engineer

Key Responsibilities

·       Observability Strategy: Define and execute a full-stack observability roadmap aligned with business and IT goals, embedding AIOps and SRE principles.

·       Monitoring Frameworks: Design and implement comprehensive monitoring solutions for applications, infrastructure, and networks to ensure continuous performance and availability.

·       Data Analysis & Insights: Use AIOps-driven analytics to identify trends, predict failures, and automate corrective actions.

·       Tool Ownership & Integration: Manage and optimize observability tools (Splunk, Datadog, Prometheus, Grafana, ThousandEyes, ServiceNow AIOps, etc.), integrating them across hybrid environments.

·       Automation & Intelligence: Develop automated workflows for ing, incident detection, and root cause analysis using scripting and AI-driven approaches.

·       Dashboarding & Reporting: Build intelligent dashboards and provide actionable insights to stakeholders on system health, incidents, and performance improvements.

·       Incident & Problem Management: Partner with ITSM teams to enhance detection, triage, and resolution workflows with AI-assisted root cause analysis.

·       Continuous Improvement: Stay updated with emerging observability and AIOps technologies, integrating them to enhance monitoring capabilities.

Qualifications

·       7 to 10 years in IT infrastructure, monitoring, and observability roles.

·       Strong experience in AIOps platforms and applying AI/ML for monitoring, anomaly detection, and predictive analytics.

·       Expertise with observability tools: Datadog, OpManager, Splunk, Dynatrace, AppDynamics, New Relic, Prometheus, Grafana, Nagios, etc.

·       Familiarity with cloud-native monitoring across AWS, Azure, GCP, and on-premise data centers.

·       Proficiency in scripting/automation (Python, Shell, PowerShell, Ansible).

·       Experience with DevOps and cloud-native environments (Kubernetes, Docker, Terraform, CI/CD pipelines).

·       Knowledge of database monitoring (SQL and NoSQL).

·       Strong analytical and problem-solving skills for proactive detection and resolution.

·       Excellent communication and collaboration skills to work across IT Ops, DevOps, Security, and Application teams.

·       Experience presenting monitoring insights and observability metrics to executives and stakeholders.

·       Solid foundation in networking and Linux administration.

·       Experience with Atlassian tooling (Jira, Confluence) preferred.

·       Certifications (ITIL, DevOps, AWS, Azure, GCP, Agile, PMP) are a plus