Application Support Engineer

enior professional with 6-8 years of experience. Identify bottlenecks and bugs from application logs and devise quick work around to these problems. Work with other team members to derive a permanent solution. Application deployment in AWS cloud platform. Understand application source code and troubleshoot to find out RCA. Configure and monitor events & alerts as part of pro-active monitoring to avoid any incident. Manage daily health check of application as part of monitoring. Collaborate with other service line members to verify and find out issues. Write Database query to perform work arounds for the issues. Perform application server patching. Qualification Working experience on Core Java and Java EE technologies, such as JDBC, JMS, JNDI Should be hands on of AWS cloud components and its deployment framework. Can able to verify issues in microservices and recommend solution. Good understanding and hands on knowledge of IBM WebSphere administration & deployment concepts. Experience in application log analysis & application troubleshooting by going through the application source code and database queries. Hands on experience on application monitoring tools and can able to troubleshoot issues from monitoring events. Experience on Linux & AIX operating systems with knowledge of basic shell scripting. Good knowledge of RDBMS databases (Oracle) with experience in writing SQL queries and scripts. Good understanding of MQ and its operation. Can troubleshoot independently on these issue with minimal guidance. Good understanding of REST and SOAP Web services Basic knowledge of Infrastructure components, such as Firewall, Load balancer etc. Should able to trouble shoot production issues from application codes independently with minimal supervision. Should have working experience on handling Internet & Mobile Apps (Android & IOS) related applications Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Event-driven architecture, Evolutionary architecture, etc., with a passion for debugging based on the application source code.