IN-Sr Support Engineer 2

Job Description: IN-Sr Support Engineer 2 Position Title: IN-Sr Support Engineer 2 Job Type: Full-time Role Overview We are seeking a highly skilled Monitoring Tools Architect to design, implement, and optimize enterprise monitoring and observability platforms. The ideal candidate will have in-depth expertise in Splunk, Zabbix, and Elastic, combined with experience in tool integrations, API-driven automation, and end-to-end observability frameworks. This role requires both architectural vision and the ability to deliver scalable, resilient, and automated monitoring solutions across hybrid cloud and on-premises infrastructures. Key Responsibilities • Design and architect enterprise-scale monitoring and observability solutions using Splunk, Zabbix, Elastic, and other monitoring tools. • Define monitoring strategy, standards, and frameworks covering infrastructure, applications, cloud, and security monitoring. • Lead tool integrations and ensure seamless data exchange between monitoring, alerting, ITSM, and automation platforms. • Leverage APIs and automation frameworks to streamline monitoring configuration, data ingestion, and alerting workflows. • Collaborate with stakeholders to translate business and technical requirements into monitoring architecture. • Define dashboards, alerting policies, correlation rules, and KPIs for proactive monitoring. • Drive root cause analysis, event correlation, and performance optimization initiatives. • Provide SME-level expertise on tool upgrades, capacity planning, and scaling strategies. • Evaluate new tools and technologies to strengthen the observability ecosystem. • Document architecture, standards, and best practices, while mentoring engineering teams. Required Skills & Experience • 10+ years of IT experience with at least 5+ years in monitoring and observability architecture. • Hands-on expertise in Splunk (ITSI preferred), Zabbix, and Elastic (ELK stack/Elastic Observability). • Strong knowledge of tool integrations with ITSM (ServiceNow, Opsgenie, PagerDuty) and other enterprise platforms. • Proficiency in API-based integrations and scripting/automation (Python, PowerShell, Ansible, Terraform). • Deep understanding of infrastructure monitoring (servers, networks, databases, cloud) and application performance monitoring (APM). • Experience designing alert correlation, event noise reduction, and automated remediation workflows. • Knowledge of log management, metrics, traces, and distributed observability concepts. • Strong troubleshooting, analytical, and problem-solving skills. • Excellent stakeholder management and communication skills. Preferred Qualifications • Certifications in Splunk Architect/Administrator, Elastic Certified Engineer, or equivalent. • Experience with cloud monitoring tools (Azure Monitor, AWS CloudWatch, GCP Operations Suite). • Familiarity with container and microservices monitoring (Kubernetes, Prometheus, Grafana). • Exposure to AIOps platforms for event correlation and predictive analysis. (ID078)

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