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AKHIL RANGA

@akhilranga

Application Support Engineer at ILIOS POWER PVT LTD, supporting Curve production operations for DBS Group.

At ILIOS POWER PVT LTD, I provide L1/L2 production support for Curve, supporting DBS Group’s trade finance operations. I monitor applications and batch jobs, investigate incidents, and work to maintain SLA compliance.

I manage incident, problem, and change processes, including root cause analysis and change assessments. I also monitor AutoSys and IBM TWS jobs and investigate system alerts and logs.

Previously, I supported Elliptic at MahindraTeqoPvtLtd and Habito at ORNEXT TECHNOLOGY SOLUTIONS PRIVATE LIMITED. My work included trade-feed validation, production troubleshooting, SQL and Shell scripting, and Kubernetes application monitoring.

Experience

Work history, roles, and key accomplishments

Current

Support Engineer 2

Current

Ilios Power Pvt Ltd

Feb 2026 - Present (8 months)

Provided L1/L2 production support, monitoring enterprise applications and resolving customer issues while maintaining SLA compliance. Managed incident, problem, and change management queues using ServiceNow ITSM and BMC Remedy.

ServiceNow BMC Remedy Autosys IBM TWS ITRS Geneos FTP Incident Management Problem Management Change Management Root Cause Analysis Batch Monitoring Log Analysis

System Analyst

Mahindra Teqo Pvt Ltd

Aug 2024 - Feb 2026 (1 year 6 months)

Built and maintained relationships with businesses and counterparties to ensure effective issue escalation and resolution. Drafted, reviewed, and validated trade queues and daily trade feeds to ensure data accuracy and compliance.

Shell Scripting Pl SQL SQL Autosys ServiceNow UAT Root Cause Analysis Stakeholder Management Incident Management Data Validation

Production Support Analyst

Ornext Technology Solutions Private Limited

Nov 2021 - Aug 2024 (2 years 9 months)

Provided daily BAU support to ensure smooth application operations and managed job scheduling using CA Workload Automation (AutoSys) in UNIX environments. Monitored applications and batch jobs via schedulers and log analysis to ensure timely execution.