Java Application Support

Quesscorp Singapore Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Quesscorp Singapore Pte Ltd seeks an experienced Production Support Engineer to join our 24/7 operations. You will handle incident and problem management, monitor production systems, and ensure SLAs across banking apps.

The role requires 5–7 years in production support, strong SQL/UNIX skills, and familiarity with Grafana, Git/Bitbucket, and Jenkins. Banking/AML exposure is a plus.

Qualifications

• 5–7 years hands-on troubleshooting of applications in full-stack environment (Java/Spring‑boot)
• 5–7 years in production support, preferably banking/AML
• Strong SQL with SQL Server/Oracle, able to write and debug queries
• Experience on Windows/Unix environments and monitoring in production
• Familiar with Grafana, Git/Bitbucket, and Jenkins for monitoring and CI/CD

Responsibilities

• Work in shifts to provide 24/7 application support as required
• Handle incident and problem management
• Monitor production systems and scheduling to meet SLA
• Troubleshoot production issues across the stack for performance and reliability
• Identify bottlenecks and resolve issues before they impact users
• Improve system through automation and performance tuning
• Identify and fix bugs in a timely manner
• Maintain hands-on experience in Java/Spring‑boot and microservices
• Possess banking/AML domain exposure and experience
• Operate in Windows/Unix environments with strong SQL skills
• Collaborate with storage/DB teams using iostat and related tools
• Leverage Grafana for monitoring and reporting
• Learn and adapt to new technologies as needed
• Familiar with GIT/Bitbucket and Jenkins as part of toolchain
• Actimize/Hadoop/AML experiences are an added advantage
• Background in investment banking is favorable
• L2 production support experience should be 5+ years and current/last role

Skills

SQL optimization

Query plans

Index usage

Unix commands

Network latency

Tools

Grafana

Git/Bitbucket

Jenkins

Job description

Responsibilities

1. Willing to work in shifts to provide rotational 24/7 shift application support duties as mentioned below.

2. Has experience or knowledge on Incident and Problem management.

3. Health check and monitoring production system and job scheduling to ensure SLA is meet.

4. Troubleshoot and solve production issues related to performance and reliability throughout the software stack.

5. Proactively identify bottlenecks in the system and work to resolve these issues before they become a problem.

6. Continuous improvement of the system, e.g. job automation, performance tuning.

7. Should be able to identify and fix the bugs.

8. At least 5-7 years of hands‑on experience on troubleshooting the applications run on full stack preferably in Java, Spring‑boot, Microservices.

9. At least 5-7 years of working experience, preferably in Banking or Anti‑money‑laundering.

10. At least 5-7 years of working experience in production support in banking applications running on Windows and Unix environments.

11. Should have strong hold on SQL server/Oracle databases and able to write/debug the SQL programs.

12. Good knowledge in Linux/Unix/Windows environments and ing.

13. Hands on experience with monitoring tools like Grafana has added advantage.

14. Should be open to learn and adapt to new technologies.

15. Knowledge on GIT Bitbucket and Jenkins has added advantage.

16. Knowledge on Actimize/Hadoop/AML support experiences has added advantage.

17. Investment banking background has added advantage.

18. L2 Production support experiences must be 5 years above and must be the current/last role.

Required Skills

• SQL query optimisation, including how to check if a query needs optimization, understanding SQL database locking DB locks (sp_locks), and interpreting query plans.
• The importance of analyzing show plans, logical IO, table scans, and the use of indexes, how the optimizer selects query plans and the impact of removing cache and recalculating indexes.
• role of indexes in query performance, including the need to ensure index columns are used correctly in queries.
• Use of Unix commands (iostat) and coordination with the storage team.
• Network latency troubleshooting was mentioned, with ping tests used to identify round‑trip delays and timeouts (e.g., 100 ms latency).

Shift Schedule

Timing

• Morning shift 6am to 3pm
• General shift 9am to 6pm.
• Afternoon shift 2pm to 11pm
• Night shift 10pm to 7am.

Need to support including night shift, weekends and public holidays.