Senior Java L3 Support Engineer - Banking Systems

Infosys Singapore & Australia; Singapore; Presencial; SGD 90 000 - 130 000; Tempo integral

Resumo da oferta

Infosys Singapore & Australia is seeking a Java L3 Support Engineer in the Banking domain to join our Singapore team. You will provide Level 3 support for Java-based banking applications and troubleshoot complex production issues to minimize downtime.

The role requires strong Java, Spring Boot and Microservices skills, Autosys experience, and familiarity with Hadoop/Spark/Hive and SQL/Oracle databases. ITIL processes and cross-team collaboration are essential.

Qualificações

• Strong Java, Spring Boot and microservices expertise.
• Hands-on experience with Autosys and batch processing.
• Knowledge of Big Data technologies (Hadoop, Spark, Hive).
• Expertise in SQL, Oracle, or other relational databases.
• Familiarity with ITIL processes (Incident, Problem, Change Management).
• Strong debugging, log analysis, and performance tuning skills.

Responsabilidades

• Provide Level 3 (L3) support for Java-based banking applications.
• Troubleshoot and resolve complex production issues with minimal downtime.
• Monitor and manage batch jobs using Autosys and other scheduling tools.
• Work with Big Data frameworks (Hadoop, Spark, Hive) for data processing and analysis.
• Perform RCA and implement permanent fixes.
• Collaborate with development, infrastructure and DevOps teams for improvements.
• Support incident management, change requests and performance optimization.

Conhecimentos

Java

Spring Boot

Microservices

Autosys

Batch processing

Big Data

SQL

Oracle

ITIL

Debugging

Ferramentas

Jenkins

Docker

Kubernetes

Descrição da oferta de emprego

About the job

Java L3 Support Engineer (Banking Domain)

Location: [Singapore]

Experience: 5+ years

Key Responsibilities:

Provide Level 3 (L3) support for Java-based banking applications.

Troubleshoot and resolve complex production issues, ensuring minimal downtime.

Monitor and manage batch jobs using Autosys and other scheduling tools.

Work with Big Data frameworks (Hadoop, Spark, Hive) for data processing and analysis.

Perform root cause analysis (RCA) and implement permanent fixes.

Collaborate with development, infrastructure, and DevOps teams for system improvements.

Support incident management, change requests, and performance optimization.

Required Skills:

Strong Java, Spring Boot, Microservices expertise.

Hands-on experience with Autosys and batch processing.

Knowledge of Big Data technologies (Hadoop, Spark, Hive).

Expertise in SQL, Oracle, or other relational databases.

Familiarity with ITIL processes (Incident, Problem, and Change Management).

Strong debugging, log analysis, and performance tuning skills.

Nice to Have:

Experience with Cloud platforms (AWS, Azure, GCP).

Exposure to DevOps tools (Jenkins, Docker, Kubernetes).

Prior experience in banking/financial applications.