Job Opportunity Posted yesterday

Senior SMART Application Engineer – Retail Legacy Systems | 5+ YoE | Any UST Location | Immediate Joiner

UST
Bangalore

Job Description

Candidates ready to join immediately can share their details via email for quick processing.

CCTC | ECTC | Notice Period | Location Preference

Act fast for immediate attention! ⏳


Key Responsibilities

  • Support, enhance, and maintain SMART-based retail applications
  • Analyze application stack, business workflows, and technical dependencies
  • Identify input/output sources, APIs/services, batch jobs, logs, and tables
  • Work on reverse engineering, documentation, and legacy system understanding
  • Troubleshoot production issues and provide incident / cutover support
  • Support data extraction, monitoring, and operational validation activities
  • Collaborate with business and technical teams to understand application behavior and modernization requirements

Must-Have Skills

  • Strong hands-on experience in SMART or similar retail legacy systems
  • Strong expertise in Informix 4GL, Informix SQL, and ESQL
  • Good experience with Unix/Linux
  • Strong scripting experience in Shell and/or Perl
  • Experience in production support, batch jobs, incident analysis, logs, and data tracing
  • Strong understanding of retail store operations / POS / inventory / replenishment workflows
  • Ability to understand and explain legacy application architecture and data flow

Good to Have

  • Experience with Concord, IMS, Resource Manager, Splunk, Teradata, ServiceNow
  • Exposure to legacy decommissioning / migration / modernization
  • Experience supporting store back-end applications
  • Ability to create technical documentation and support reverse engineering initiatives

Ideal Candidate Profile

  • Has worked directly on SMART / retail legacy applications
  • Can explain end-to-end application behavior, jobs, integrations, and support processes
  • Strong in both technical troubleshooting and business flow understanding
  • Comfortable working in high-dependency production environments

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