Java Engineer - Electronic Trading & FIX Platform

EVYONIC SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EVYONIC Solutions PTE. LTD. is seeking a skilled Java developer to design and maintain components of an electronic trading platform. The role focuses on high-throughput, low-latency services and robust integration with trading venues.

You will work on FIX protocol integrations, production support, deployment automation, and performance tuning across capital markets applications, leveraging Linux administration and Shell/Python scripting.

Qualifications

• 3+ years of experience in Java development and application support.
• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field.

Responsibilities

• Develop and maintain Java applications, services, and integrations for electronic trading platforms.
• Support FIX Protocol integrations and connectivity with brokers, trading venues, and external counterparties.
• Perform Linux/Unix administration, troubleshooting, and Shell/Python scripting for application support and automation.
• Support application deployment, production implementation, CI/CD, and release management.
• Troubleshoot production and connectivity issues, perform root cause analysis, performance tuning, and optimization.
• Support Capital Markets/Electronic Trading applications across monitoring, resiliency, operational improvements, and production support.

Skills

Java development

FIX protocol

Linux/Unix administration

CI/CD

Python scripting

Capital Markets knowledge

SQL

Education

Bachelor’s degree in Computer Science/Information Technology/Software Engineering

Job description

EVYONIC Solutions PTE. LTD. is seeking a skilled Java developer to design and maintain components of an electronic trading platform. The role focuses on high-throughput, low-latency services and robust integration with trading venues.

You will work on FIX protocol integrations, production support, deployment automation, and performance tuning across capital markets applications, leveraging Linux administration and Shell/Python scripting.