Job Description

Position Summary

We are seeking an experienced Senior Software Engineer to join the MTS Development team responsible for one of the industry's most critical high-value payments platforms. This role will focus on maintaining, enhancing, and modernizing core payment processing capabilities while supporting regulatory mandates, customer commitments, platform resiliency, and long-term product sustainability.

The ideal candidate will be a strong software engineer with experience in complex enterprise applications, payment systems, mission-critical production support, and large-scale modernization initiatives.
Key Responsibilities

• Design, develop, and maintain core MTS platform capabilities.
• Deliver customer and regulatory commitments including payment network mandates.
• Participate in production issue resolution and root cause analysis.
• Support modernization initiatives including 64-bit migration, ISO 20022, structured address, security, and platform enhancement programs.
• Collaborate with Product Management, Professional Services, Quality Engineering, and Customer Support teams.
• Act as a technical mentor and support knowledge transfer initiatives.
• Drive engineering excellence through automation, testing, observability, and quality improvements.
• Leverage AI-assisted engineering tools to improve productivity and code quality.

Required Qualifications

• 8+ years of software development experience.
• Strong Java and enterprise application development experience.
• Experience working with large-scale transaction processing platforms.
• Experience debugging complex production issues.
• Strong understanding of software architecture, integration patterns, APIs, and database technologies.
• Experience with secure software development practices.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Payments industry experience (Fedwire, CHIPS, SWIFT, ISO 20022).
• Experience supporting Tier-1 financial institutions.
• Experience with cloud migration and modernization initiatives.
• Knowledge of high-availability and mission-critical systems.
• Experience using AI engineering tools such as Copilot, Cursor, Claude, or equivalent.

Success Measures

• Successful delivery of roadmap and mandate commitments.
• Reduction in production incidents and resolution time.
• Increased automated test coverage.
• Effective knowledge transfer and documentation.
• Contribution to long-term platform sustainability.