Experience: 3-7years • Perform manual Tier 1 triage: monitor, detect, classify, and route incidents based on alarm and alert signals from a range of source applications. • Work across a diverse toolset: interpret alerts from multiple log aggregation and observability platforms Dynatrace, Recent Relic, ManageEngine, Glass box, and others and translate them into consistent, actionable incident data. • Support standardized, real-time telemetry help build and maintain a clean Open Telemetry-based data backbone, ensuring alarm and alert data is standardized, timely, and reliable. • Move from reactive to proactive: contribute to the shift from reactive incident response toward proactive issue prevention by flagging patterns, gaps, and data-quality issues in monitoring coverage. • Understand a complex app ecosystem:



learn and track the technology stack, architecture disposition (Invest, Tolerate, Retire, Migrate), and ownership of each supported application. • Engage support groups and app owners: coordinate with the correct support group and application owner for each application to resolve or escalate incidents quickly. • Support a growing, moving target: adapt as new applications are onboarded the portfolio will grow from 50 to approximately 320 applications over two years. • Practice data stewardship: flag inconsistent, noisy, or low-quality alert data and help drive it toward a clean, standardized state.

📌 Application Support Engineer ( AI Ops ) (Karnataka)
🏢 PeopleLogic
📍 Karnataka