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fynder talent

Singapore / Global

Full Stack Python Developer - B2B Fintech

Job Description

Senior Python Engineer — B2B Fintech

Location:

Singapore

Employment type:

Full-time

Reporting to:

Engineering Lead

Work Legibility:

Singaporean / PR holders

We are hiring a Senior Python Engineer to help build and scale a B2B fintech platform,

You will work on business-critical backend services that enable companies to move funds internationally, manage workflows, integrate with banking and payment partners, and gain real-time visibility over their financial operations. This is a hands-on senior engineering role for someone who enjoys solving complex, high-impact problems in a regulated, distributed, and reliability-critical environment.

What we are looking for

5+ years of professional software-engineering experience, including substantial hands-on backend development in Python.

Experience designing and operating RESTful APIs, service-to-service interfaces, and/or event-driven systems.

Strong understanding of backend fundamentals: API design, authentication and authorization, database design, transactions, concurrency, caching, error handling, rate limiting, and secure software development.

Strong SQL and relational-database experience, ideally PostgreSQL or MySQL, including schema design and query optimization.

Experience with asynchronous processing and distributed systems, such as Kafka, RabbitMQ, SQS, Celery, Redis, or similar technologies.

Highly desirable

Experience in payments, banking, fintech, treasury, foreign exchange, remittance, wallets, cards, lending, or financial infrastructure.

Familiarity with payment lifecycle concepts such as authorisation, payment state machines, settlement, reconciliation, exceptions, refunds/reversals, chargebacks, and audit trails.

Familiarity with idempotency, exactly-once/at-least-once processing trade-offs, retry strategies, dead-letter queues, and duplicate-payment prevention.

Experience building multi-tenant B2B SaaS or externally consumed developer APIs.

Experience using AI/LLM capabilities responsibly within production products, operations, or developer workflows.

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