Boku - Payments Transformation Manager – AI & Automation
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
• Serve as one of the key representatives of the Payment Operations team to internal stakeholders (Product, Engineering, Commercial, Finance) during the implementation of new networks, payment partners, or merchants globally, ensuring operational readiness and smooth go-live execution. • key representatives of the Payment Operations team • new networks, payment partners, or merchants globally • Critically analyse current payment operations workflows, identify bottlenecks or manual touchpoints, and recommend data-driven, scalable AI solutions to streamline processes and reduce operational overhead. • Critically analyse current payment operations workflows • data-driven, scalable AI solutions • Lead daily payment operations across digital wallets, local payment methods, and carrier billing. • digital wallets • local payment methods • carrier billing • Collaborate cross-functionally with Commercial, Finance, Tax, Product, and Engineering teams to review operational setups, optimize cash flow, and ensure compliance alignment. • Commercial, Finance, Tax, Product, and Engineering • Identify and close process gaps; automate manual workflows and retire obsolete processes to drive operational efficiency. • automate manual workflows • retire obsolete processes • Maintain strong relationships with payment service providers, digital wallet partners, MNOs, and local acquirers. • payment service providers • digital wallet partners • local acquirers • Manage transaction processing, settlements, reconciliations, chargebacks, and exceptions. • Monitor key metrics — transaction success rates, reconciliation status, settlement timeliness — and report performance to leadership. • Support Product and Engineering teams on new payment integrations and enhancements. • Ensure compliance with regulatory and internal control requirements (AML, PSD2, local rules). • Measures of Success • Measures of Success • Using AI tools to automate at least 80% of manual touch points in Payment Operations. • AI tools to automate at least 80% of manual touch points • 100% of new network, partner, and merchant launches achieve operational readiness sign-off before go-live. • 100% of new network, partner, and merchant launches • ≥ 95% of launches delivered on or before committed timelines, with no post-launch critical operational issues. • ≥ 95% of launches delivered on or before committed timelines • 0 Sev-1 / Sev-2 operational incidents within the first 30 days post-launch. • 0 Sev-1 / Sev-2 operational incidents • Documented end-to-end operational playbooks created or updated for every new integration. • end-to-end operational playbooks • Manual operational touchpoints reduced to < 5% of total Payment Operations workflows within 12 months. • Manual operational touchpoints reduced to < 5% • ≥ 80% of recurring operational tasks automated (reconciliation, settlement validation, exception routing). • ≥ 80% of recurring operational tasks automated • Year-on-year reduction in operational cost per transaction despite volume growth. • Year-on-year reduction in operational cost per transaction • All critical workflows documented with clear SLAs, controls, and escalation paths. • clear SLAs, controls, and escalation paths • 99% settlement accuracy across wallets, local payment methods, and carrier billing. • 99% settlement accuracy • ≥ 99.9% on-time settlements in line with contractual partner SLAs. • ≥ 99.9% on-time settlements • Reconciliation breaks resolved within SLA: • Reconciliation breaks resolved within SLA • High-value / material breaks: ≤ 2 business days • Standard breaks: ≤ 5 business days • Zero material audit findings related to payment operations. • Zero material audit findings
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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