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Jobs(38,923)/Senior Software Engineer Role(1,785)/Boku (16) - Payments Transformation Manager – AI & Automation
Boku

Boku - Payments Transformation Manager – AI & Automation

Remote - MT (Mountain)3mo ago
RemoteDirectorEMEAFintechPaymentsSenior Software EngineerSenior Backend DeveloperDirector of Customer SuccessPayroll SpecialistAutomation EngineerSpring BootJavaSpringReportingTeam Management

Requirements

• 5+ years of backend engineering experience, with deep expertise in Java and the Spring Boot ecosystem (Spring MVC, Spring Data, Spring Security). • Demonstrable experience building and operating high-throughput, high-availability distributed payment or financial services systems. • Strong understanding of payment system architecture: idempotency, exactly-once delivery, reconciliation, and settlement flows. • Experience with relational databases (PostgreSQL, MySQL) and messaging systems (Kafka, RabbitMQ, or equivalent). • Familiarity with container-based deployment (Docker, Kubernetes/EKS) and CI/CD pipeline tooling (GitHub Actions or equivalent). • Experience with PCI DSS compliant system design and secure coding practices. • Strong communication skills; ability to work effectively with Product, Architecture, and Operations in a globally distributed team. • Preferred • React frontend development experience sufficient to contribute to internal tooling and dashboards. • Experience integrating with Bloomberg data feeds (BFIX, B-PIPE, or similar) or other real-time FX data sources. • Background in FX processing, treasury systems, or multi-currency settlement. • Experience with financial messaging standards (ISO 20022, SWIFT MT/camt formats). • Prior work in a payments processor, PSP, or fintech operating across multiple markets. • AI & Agentic Systems • Practical experience building or integrating LLM-powered features into production services, including prompt engineering, tool/function calling, and structured output handling via APIs such as Anthropic or OpenAI. Familiarity with AWS Bedrock is ideal. • Experience designing or contributing to agentic workflows: multi-step autonomous processes where models plan, call tools, and act on results — including handling retries, failure modes, and human-in-the-loop checkpoints. • Familiarity with MCP (Model Context Protocol) or similar tool-use frameworks for connecting AI models to internal APIs, databases, and external services. • Comfortable using AI-assisted development tooling (e.g. Claude Code, GitHub Copilot, Cursor) as part of day-to-day engineering workflow, and able to reason critically about where AI assistance adds value versus where it requires human judgement. • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. • 5+ years of professional software engineering experience in backend-heavy roles. • Prior experience in a regulated financial services or payment processing environment strongly preferred.

Responsibilities

• Lead Payment Operations Transformation: Own and drive transformation initiatives across Payment Operations, focusing on process redesign, automation, and AI-led optimization to improve scalability, efficiency, and control. • Lead Payment Operations Transformation: • Design and Implement Automation Solutions: Take a hands-on approach in identifying manual workflows and building solutions using automation tools, AI platforms, macros (e.g., Excel/VBA), and low-code/no-code technologies to eliminate inefficiencies and reduce operational overhead. • Design and Implement Automation Solutions: • Act as a Strategic Transformation Partner: Represent Payment Operations in cross-functional initiatives (Product, Engineering, Commercial, Finance), ensuring new implementations (networks, partners, merchants) are designed with scalable, automated, and future-ready operational models. • Act as a Strategic Transformation Partner: • Embed Scalable Operational Design: Ensure all new payment integrations and launches are operationally robust, minimizing manual intervention and enabling long-term scalability from day one. • Embed Scalable Operational Design: • Leverage Data, Tooling, and AI for Continuous Improvement: Use data analysis, scripting, and AI-driven insights to proactively optimize transaction flows, reconciliation processes, exception handling, and reporting. • Leverage Data, Tooling, and AI for Continuous Improvement: • Maintain Deep Payment Operations Expertise: Bring strong domain knowledge across digital wallets, local payment methods, and carrier billing to inform both transformation initiatives and operational decisions. • Maintain Deep Payment Operations Expertise: • Collaborate Cross-Functionally for End-to-End Optimization: Partner with Commercial, Finance, Tax, Product, and Engineering teams to improve settlement flows, reconciliation accuracy, cash flow management, and operational efficiency. • Collaborate Cross-Functionally for End-to-End Optimization: • Own Operational Processes and Outcomes: Oversee key processes including transaction processing, settlements, reconciliations, chargebacks, and exception management, ensuring stability while driving continuous improvement. • Own Operational Processes and Outcomes: • Manage and Evolve Partner Operations: Build and maintain relationships with payment service providers, digital wallet partners, MNOs, and acquirers, while evolving operational processes in line with partner capabilities and business growth. • Manage and Evolve Partner Operations: • Ensure Compliance and Operational Controls: Maintain adherence to regulatory and internal requirements (AML, PSD2, local regulations) while embedding controls into automated and transformed processes. • Ensure Compliance and Operational Controls: • Define and Track Performance Metrics: Establish and monitor KPIs (e.g., transaction success rates, reconciliation accuracy, settlement timeliness), using insights to drive measurable transformation outcomes. • Define and Track Performance Metrics:

Benefits

• Impact: Work on payment infrastructure that processes billions of dollars annually, serving some of the world's largest digital commerce platforms across 65 countries. • Impact • Focus: A fixed term engagement with a clearly scoped remit, embedded within a high-calibre engineering team operating on greenfield and core platform work. • Focus • Culture: A collaborative, inclusive engineering culture that values craft, rigorous thinking, and delivery. Boku is a genuinely global company with deep expertise in local payment markets. • Culture • Benefits: Competitive day rate, flexible working arrangements, and Singapore-based team with global stakeholder exposure.

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