Overview
StoneX Global Payments is a leading global payments fintech providing cross‑border FX and payments solutions to corporations, NGOs, and institutions across 180+ countries and 140+ currencies. Our mission is to build the next‑generation global payments platform—scalable, efficient, fault‑tolerant, and powered increasingly by intelligent automation.
Key Responsibilities
- Architecture & Technical Leadership
- Lead the design and development of distributed, microservice‑based enterprise applications using Java, Spring Boot, and cloud‑native patterns.
- Shape the future Payments platform architecture and contribute to front‑to‑back re‑engineering initiatives across GP.
- Drive system design excellence through formal design reviews, ADRs, and technical deep‑dives.
- Ensure high standards for reliability, performance, scalability, and observability.
Agentic Development Leadership
- Introduce, design, and operationalize agent‑based engineering workflows across the SDLC.
- Use tools such as Claude Code, capable of repository‑wide reasoning, automated refactoring, debugging, and commit generation to accelerate engineering throughput.
- Build “agent‑ready” codebases through modular design, clean documentation, and comprehensive test coverage.
- Actively contribute to or lead the new agentic development team for Payments (e.g., new wallet solution POC).
- Evaluate AI‑generated code for quality, correctness, architectural alignment, and security.
- Develop internal best practices, training materials, and standards for agent‑accelerated engineering.
Delivery & Execution
- Deliver high‑quality software aligned to business needs and customer outcomes.
- Translate product requirements into scalable technical solutions; break down complex features into actionable tasks.
- Implement robust automated testing and continuous integration practices.
- Diagnose, debug, and resolve complex issues across distributed systems and environments.
Coaching, Mentoring & Technical Culture
- Mentor senior and junior engineers on system design, coding best practices, and agent‑centric engineering patterns.
- Promote collaborative working across global agile teams.
- Champion engineering excellence, continuous improvement, and experimentation with AI‑accelerated development.
Qualifications
Core Engineering Skills
- 12–15+ years in software engineering (back‑end or full‑stack).
- Expertise with Java, Spring Boot, microservices, cloud‑native patterns, and distributed systems.
- Strong understanding of cloud platforms (Azure or AWS) and containerization (Docker/Kubernetes).
- Messaging technologies (Kafka, RabbitMQ, Azure Service Bus).
- Experience with SQL and NoSQL databases (SQL Server, MongoDB).
- Solid grasp of CI/CD, Git, DevOps tooling, and test automation frameworks.
Agentic Development Skills
- Hands‑on experience with agentic development tools such as Claude Code, Copilot Workspace, or equivalent.
- Ability to orchestrate multi‑agent workflows (refactoring, debugging, dependency updates, code generation).
- Deep understanding of how design quality affects agent output (modularity, documentation, test coverage).
- Experience evaluating and validating AI‑generated code.
- Ability to build frameworks, patterns, and tooling for agent‑powered engineering at scale.
Soft Skills
- Strong analytical, problem‑solving, and communication skills.
- Ability to collaborate effectively across distributed global teams.
- Forward‑thinking mindset and deep curiosity about emerging technologies in payments and AI.
Education
- Degree in Computer Science, Engineering, or related field.
Preferred Experience
- Experience in cross‑border payments or financial markets.
- Leading or participating in large transformation programs.
- Prior experience introducing new engineering methodologies (AI/ML, agentic, DevOps, cloud migrations).
What We Offer
- Opportunity to build the future of global payments technology with a modern, cloud‑native and agent‑augmented engineering stack.
- Work alongside global engineering and product teams driving cutting‑edge innovation.
- Competitive compensation and benefits.
- A culture that values autonomy, ownership, continuous learning, and experimentation.