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.
