Software Engineer

ACI Worldwide•Norcross, GA

2d•Hybrid

About The Position

Powering the world’s payments ecosystem ACI powers the payments ecosystem – globally, and you power ACI. You’ll innovate, collaborate, and grow – in an energetic technology culture with decades of proven success. ACIers – in all roles and levels – are truly your colleagues and many are your friends. Our size and reach allow you to see the global impact of your work. You are visible, your talents are valued, and you are empowered to shape the future of payments. As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to powering the world’s payments ecosystem!

Requirements

5+ 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.

Nice To Haves

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.

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.