Senior Software Engineer, Agentic Commerce

Global Payment Holding Company•Atlanta, GA

About The Position

Global Payments is seeking a Senior Software Engineer to join its agentic commerce engineering team and help build infrastructure for autonomous commerce. The role focuses on secure, reliable backend services that enable AI agents, merchants, payment platforms, and risk systems to work together in real time. The infrastructure supports trust, identity, user intent, authentication, tokenization, fraud signals, and transaction visibility. The engineer will design and build checkout and payment APIs that AI agents can invoke reliably, implement flows for agent context, delegated authority, payment credentials, risk signals, and transaction evidence, and integrate agentic commerce capabilities with payment and merchant systems. The role also includes building merchant-facing APIs, SDKs, documentation, sample flows, sandbox experiences, and developer tools. The engineer will build Java-based backend services and own features from design through implementation, testing, deployment, monitoring, and iteration, while contributing to reviews, documentation, production readiness, and engineering quality.

Requirements

  • At least 5 years of software engineering experience, including building and operating production services, APIs, distributed systems, or transaction-processing applications.
  • Experience building and operating cloud-based systems on AWS, Google Cloud Platform, or comparable public cloud environments.
  • Strong fundamentals in deployment, monitoring, reliability, and secure service design.
  • Practical interest in AI agents and agentic workflows, including API calls, structured data, delegated permissions, and validation before real-world actions.
  • Strong software engineering fundamentals across API design, testing, CI/CD, observability, secure coding, resilience, maintainability, and production support.
  • Ability to collaborate across product and technical teams to deliver capabilities in a fast-moving, emerging product area.

Nice To Haves

  • Experience in payments, fintech, commerce, gateways, card-not-present processing, checkout, tokenization, 3DS/SCA, fraud/risk, disputes, merchant reporting, or other high-trust transaction systems.
  • Experience building or integrating AI-powered applications, agent frameworks, LLM tool-calling patterns, MCP-style integrations, A2A-style workflows, structured automation systems, or safe AI execution patterns.
  • Hands-on experience with Node.js, TypeScript, SDKs, developer tooling, sandbox environments, sample apps, merchant-facing APIs, GitHub projects, open-source tools, standards discussions, AI engineering communities, or technical forums.

Responsibilities

  • Design and build secure checkout and payment APIs that AI agents can invoke reliably and deterministically, supporting concepts such as UCP, ACP, AP2, agentic tokens, delegated credentials, verifiable intent, and MPP.
  • Implement flows that capture and validate agent context, user intent, delegated authority, payment credentials, risk signals, transaction evidence, and downstream reporting data.
  • Integrate agentic commerce capabilities with global payment platforms, gateways, checkout, tokenization, authentication, fraud, reporting, and merchant-facing systems.
  • Build merchant-facing APIs, SDKs, documentation, sample flows, sandbox experiences, and developer tools.
  • Design APIs and developer experiences with clear contracts, predictable errors, strong validation, fast testing, and measurable time-to-first-transaction.
  • Use feedback from internal teams, external developers, pilots, and partner integrations to improve the platform.
  • Build Java-based backend services for real-time payment workflows with performance, observability, security, and operational discipline.
  • Own features from design through implementation, testing, deployment, monitoring, and iteration.
  • Contribute to design reviews, code reviews, service documentation, production readiness, and a culture of high-quality engineering.
  • Collaborate with product, architecture, security, fraud, checkout, tokenization, gateway, and platform teams to deliver cross-system capabilities.
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