SATHYAKALA KALIAMOORTHY

Leadership & Ownership:

• Lead L2 production support function for critical banking applications in a 24/7 environment
• Act as primary escalation point for high-severity incidents (P1/P2)
• Coordinate across L3, development, infrastructure, and business teams

Operations & Support:

• Ensure high availability and system stability with strict SLA adherence
• Drive incident triage, resolution, and root cause analysis (RCA)
• Monitor applications using Splunk, Dynatrace, and ITRS Geneos
• Manage batch processing and scheduling (AutoSys, cron jobs)

Automation & Improvements:

• Developed Unix shell scripts to automate recurring production issues
• Reduced manual effort and improved turnaround time for support tasks
• Implemented proactive monitoring and alerting strategies

Release & Change Management:

• Supported production deployments and release validation
• Ensured compliance with change management processes (ITIL)

Documentation & Governance:

• Created and maintained SOPs, runbooks, and knowledge articles
• Conducted post-incident reviews and problem management sessions

Key Achievements:

• Improved incident resolution time
• Reduced recurring issues through automation and RCA initiatives
• Successfully managed multiple critical production incidents with minimal downtime

• Provide L2 production support for mission-critical Anti-Money Laundering (AML) applications, ensuring continuous monitoring of financial transactions for regulatory compliance
• Support AML systems involved in transaction monitoring, suspicious activity detection, sanctions screening, and case management
• Act as primary escalation point for high-severity incidents (P1/P2) impacting AML processing and compliance workflows
• Lead major incident bridges, coordinating with cross-functional teams to restore AML services within SLA timelines
• Perform in-depth root cause analysis (RCA) for issues impacting AML alerts, data pipelines, and reporting accuracy
• Ensure timely processing of AML batches and data feeds, preventing delays in fraud detection and regulatory reporting
• Work on Unix/Linux, Hadoop, SQL, and Informatica to troubleshoot data integrity, ETL failures, and application issues
• Monitor AML applications using ITRS Geneos, ensuring proactive identification of anomalies and failures
• Manage job scheduling via AutoSys, ensuring successful execution of AML data processing workflows
• Follow ITSM best practices (Incident, Problem, and Change Management) to maintain audit and compliance standards
• Track and manage production issues using JIRA and PAPA, ensuring proper documentation for audit readiness
• Drive automation of alerts and monitoring, improving early detection of AML processing failures
• Maintain Confluence/Wiki documentation for AML processes, runbooks, and onboarding materials
• Provide timely communication to business stakeholders and compliance teams, ensuring transparency during incidents
• Take ownership of Disaster Recovery (DR) drills and major AML release activities, ensuring zero impact to regulatory processes
• Ensure high availability of AML platforms, minimizing risk exposure and compliance breaches

• Provided L2 application/production support for 15+ collateral management applications across Unix and Windows platforms
• Ensured 24/7 support for web applications, client systems, batch jobs, and data feeds to prevent business impact
• Monitored and supported collateral processing workflows, ensuring timely execution of batches and data accuracy
• Utilized Unix shell scripting and SQL for troubleshooting, log analysis, and data validation
• Managed job scheduling using Control-M and AutoSys, including JIL scripting for job creation, updates, and maintenance
• Performed incident triage, root cause analysis (RCA), and implemented corrective actions to reduce recurring issues
• Collaborated with developers, DBAs, and project managers for faster incident resolution
• Maintained SLA compliance by ensuring timely response and resolution of production issues
• Provided support for upstream and downstream system integrations, ensuring seamless data flow
• Automated and configured ITRS Geneos monitoring across multiple servers, reducing manual effort
• Developed ITRS dashboards for collateral applications to enable proactive monitoring and alerting
• Streamlined support processes, improving resolution time and overall efficiency
• Maintained strong stakeholder communication, providing regular updates during incident resolution
• Assisted end users in troubleshooting application issues, ensuring smooth business operations
• Supported release activities and post-deployment validation
• Maintained documentation (runbooks, SOPs, knowledge base) for team reference

L1 / L2 Application Support Engineer – ERMS (Enterprise Risk Management System)

• Provided L1/L2 application support for 10+ Enterprise Risk Management (ERMS) applications, ensuring high availability and smooth business operations
• Led automation of Unix batch processing, improving efficiency and reducing manual intervention in production workflows
• Took end-to-end ownership of AutoSys jobs across production and lower environments, including monitoring, scheduling, and issue resolution
• Collaborated with DBAs and development teams to troubleshoot and resolve complex technical issues
• Played a key role in building and stabilizing the offshore support team, ensuring seamless transition and operational readiness
• Trained and mentored team members on business processes, application workflows, and support procedures to enhance team performance
• Developed runbooks and operational process manuals to support SOX compliance and audit requirements
• Improved system performance and stability through proactive monitoring and timely issue resolution
• Provided daily status reports to management, highlighting incidents, risks, and system health
• Created application workflow diagrams using Visio, improving understanding of system architecture and data flow
• Supported Business Continuity Planning (BCP) and disaster recovery testing at client location
• Worked closely with development teams to validate fixes and execute test scenarios before production deployment