Software Engineer (Payment)

TL;DR

Software Engineer (Payment): Building and optimizing a resilient and scalable payment infrastructure for a global refurbished tech marketplace with an accent on payout lifecycles, seller onboarding, and financial risk monitoring. Focus on transitioning from a monolith to a distributed service-oriented architecture and delivering seamless user experiences at scale.

Location: Hybrid in Paris, France (2 remote days a week, 1 remote week per quarter, plus 3 flex days)

Company

A global marketplace for refurbished devices dedicated to reducing environmental impact by making tech reliable and affordable.

What you will do

• Develop and manage the full payout lifecycle for a global network of refurbishers.
• Build and maintain scalable payment infrastructure and financial risk monitoring systems.
• Modernize the platform by transitioning from a monolith to a distributed, service-oriented architecture.
• Collaborate within an agile "build it and run it" environment to launch, monitor, and support owned products.
• Write clean, consistent, and well-organized code to ensure high system reliability.

Requirements

• 2+ years of experience in backend development.
• Strong skills in system design and experience with microservices and distributed systems.
• Proficiency in data architecture and APIs.
• English: C1 level (fluent) is required for collaboration with an international team.
• Location: Must be based in or able to work hybrid in Paris, France.
• Fullstack mindset with a curiosity for end-to-end product thinking and ability to navigate ambiguity.

Culture & Benefits

• Mission-driven work environment focused on positive environmental impact.
• Hybrid work model with 2 remote days per week and 1 remote week per quarter.
• Employee Resource Groups, including mentorship programs and cultural competency training.
• Commitment to diversity, equity, and inclusion as a certified B Corp.

Hiring process

• HR screening.
• Backend coding and testing module.
• System design feature interview.
• Data module evaluation.
• Technical leadership and manager interview.
• Company values assessment.