Aditya M. — Product Manager

Investigated and resolved L2-level application issues by analyzing logs, database records, and user reports. Monitored application performance and health using dashboards and alerting tools. Performed root cause analysis (RCA) for recurring issues and provided detailed reports to L3/Development teams. Used Linux commands (tail, grep, top, df -h) to review server logs and diagnose system-level problems. Executed SQL queries to validate data, troubleshoot transaction failures, and check record consistency. Analyzed API response codes (200, 400, 401, 500) and identified issues related to services and integrations. Reproduced production issues in UAT/test environments to understand the exact failure scenario. Handled incident tickets, service requests, and problem tickets using JIRA/ServiceNow. Coordinated with L3 Engineering, DevOps, and infrastructure teams for issue escalations and permanent fixes. Performed validation after deployments, patches, and hotfix releases to ensure application stability. Provided workarounds and guidance to business users, customers, and internal stakeholders. Monitored scheduled jobs, batch processes, and background services to ensure timely execution. Conducted health checks after server restarts, deployments, or major system changes. Ensured adherence to SLA timelines by prioritizing tickets based on impact and severity. Documented common issues, troubleshooting steps, and knowledge articles for internal use. Assisted with production release support, including pre- and post-deployment checks. Tracked recurring incidents and recommended improvements to reduce downtime and failures. Investigated data discrepancies between UI, database, and backend services. Worked with cross-functional teams to support critical business operations and minimize service interruptions. Participated in on-call rotation to support 24/7 production environment and handle urgent escalations. Ensured compliance with company processes, incident management workflows, and ITIL best practices. Supported user onboarding, access issues, and environment configuration checks. Identified performance bottlenecks by analyzing logs, API latency, and server utilization.

Stackforce AI infers this person is a skilled Application Support Engineer with expertise in incident management and troubleshooting in a SaaS environment.

Location: Bengaluru, Karnataka, India

Experience: 7 yrs 6 mos