Observability Engineer (AI Ops)

Description GSPANN is hiring an experienced Observability Engineer (AI Ops) with 12-15 years of expertise in monitoring, automation, and AI-driven operations. The role involves enhancing system reliability and performance through APM tools, cloud observability, scripting, and Site Reliability Engineering (SRE) practices.

Role and Responsibilities

• Use Application Performance Management (APM) tools such as Dynatrace and LogicMonitor to monitor and enhance system performance.
• Write and maintain automation scripts using Python and Bash to streamline monitoring and alerting processes.
• Deploy and manage Splunk for log analysis, real-time monitoring, and root cause troubleshooting.
• Operate and oversee Kubernetes clusters through Amazon Elastic Kubernetes Service (EKS) for high availability and scalability.
• Implement observability solutions on Amazon Web Services (AWS) and Microsoft Azure to ensure cloud-based systems are monitored and well-managed.
• Apply Site Reliability Engineering (SRE) principles to improve system resilience, scalability, and performance.
• Incorporate AI and machine learning in observability workflows to enable predictive monitoring and boost operational efficiency.
• Respond promptly to incidents and drive resolution efforts to minimize business disruptions.
• Continuously analyze and tune system performance, using proactive monitoring and feedback loops.
• Partner with development and operations teams to integrate observability tools and practices seamlessly across environments.

Skills and Experience