Lead Application Support / Production Support Engineer

• Lead day-to-day production support for business-critical applications.
• Troubleshoot application, API, database, and messaging issues.
• Monitor applications and analyze logs using Splunk.
• Investigate production incidents and perform RCA.
• Lead Major Incident Management and coordinate resolution across technical teams.
• Support Java/Spring Boot microservices and Kafka-based applications.
• Troubleshoot Oracle/MongoDB and SQL-related issues.
• Identify recurring issues and implement permanent solutions.
• Work closely with development, infrastructure, DevOps, and business teams.
• Mentor junior production support engineers and provide technical leadership.
• Ensure production stability, availability, and operational excellence.

Keywords: Java, Spring Boot, REST API, Kafka, Oracle, MongoDB, SQL, Microservices, Splunk, Production Support, Application Support, Incident Management, RCA, ServiceNow, Kubernetes, OpenShift, Cloud, Banking.

We are looking for 2 experienced Lead Application Support / Production Support Engineers with 8+ years of experience supporting business-critical applications in production environments. The ideal candidates will have strong hands-on experience with Java/Spring Boot, REST APIs, Kafka, databases, microservices, and production support operations., * 8+ years of experience in Application Support / Production Support

• Strong hands-on experience with Java and Spring Boot
• Experience supporting and troubleshooting REST APIs
• Strong knowledge of Kafka
• Experience with Oracle and/or MongoDB
• Strong SQL and database troubleshooting skills
• Experience supporting Microservices applications
• Hands-on experience with Splunk for log analysis and monitoring
• Strong experience in Incident Management and Root Cause Analysis (RCA)
• Ability to lead major production incidents
• Experience mentoring and guiding production support team members
• Strong troubleshooting and problem-solving skills

Preferred Skills

• ServiceNow
• OpenShift / Kubernetes
• Cloud technologies such as AWS, Azure, or Google Cloud Platform
• Understanding of AI / Agent platforms
• Banking / Financial Services domain experience