Senior Software Engineer, Agentic Commerce

Global Payments Inc.

. Design and build secure checkout and payment APIs that AI agents can invoke reliably and deterministically .

Posted 11/11/2026full-timeAtlanta • Georgia • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building secure payment APIs and checkout systems, with a strong focus on cloud-based environments and high-trust transaction processing. Proficient in collaborating across teams to enhance platform capabilities and ensure production readiness.

Highest-signal resume keywords

Java-Based Backend DevelopmentCloud-Based Systems on AWS or Google Cloud PlatformAPI Design and DevelopmentPayments and Fintech ExperienceCI/CD and Observability

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

API DesignSecure CodingTransaction ProcessingDistributed SystemsReal-Time Payment WorkflowsTesting and ValidationMonitoring and ReliabilityAgentic WorkflowsStructured DataDeployment Practices

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

Node.jsTypeScriptSDKsGitHubSandbox EnvironmentsDeveloper ToolsMerchant-Facing APIs

Industry Keywords

FintechCommerceTokenizationFraud DetectionCard-Not-Present Processing3DS/SCAMerchant Reporting

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptNode.jsTypeScript

About the role

Key responsibilities & impact

Design and build secure checkout and payment APIs that AI agents can invoke reliably and deterministically
Implement flows capturing and validating 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 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 supporting real-time, high-trust payment workflows
Own features from design through implementation, testing, deployment, monitoring, and iteration
Contribute to design reviews, code reviews, service documentation, production readiness, and high-quality engineering practices

Requirements

What you’ll need

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, architecture, security, fraud, checkout, tokenization, gateway, and platform teams
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 is a bonus
Experience with AI-powered applications, agent frameworks, LLM tool-calling patterns, MCP-style integrations, A2A-style workflows, structured automation systems, or safe AI execution patterns is a bonus
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 is a bonus