Backend/API Engineer, Money as a Service

at Stripe
GBP 81,600-157,200 per year
MIDDLE
✅ Hybrid

Tech Stack

API AWS @ 3 Communication @ 6 Docker @ 3 GraphQL @ 3 Kubernetes @ 3 gRPC @ 3

Details

Stripe is a financial infrastructure platform for businesses. The Money as a Service organization oversees Stripe's core platforms and services, including the Stripe Treasury suite for managing and moving funds.

The role focuses on building ergonomic APIs and extending foundational Money Management APIs and services that power Stripe's Treasury products globally. The team collaborates with cross-functional teams, including Infrastructure and Product Management, to deliver solutions for evolving user needs.

Responsibilities

  • Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests.
  • Debug and solve critical production issues across services and multiple levels of the stack.
  • Mentor engineers to help them grow.
  • Collaborate with stakeholders across the company to build new features at large scale while improving internal engineering standards, tooling, and processes.
  • Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues.

Requirements

  • 2–12+ years of industry software engineering experience, excluding internships and co-ops.
  • Strong coding skills in any programming language; the interview process is language agnostic.
  • Strong collaboration skills, with the ability to work across team workstreams and contribute to peers' success.
  • Ability to thrive with a high level of autonomy and responsibility, with an entrepreneurial mindset.
  • Interest in working as a generalist across varying technologies and stacks to solve problems and delight internal and external users.

Preferred Qualifications

  • Experience with large-scale financial tracking systems.
  • Good understanding and practical knowledge of cloud-based services, such as gRPC, GraphQL, Docker, Kubernetes, and cloud services such as AWS.

Team matching for a subteam within the organization begins during the final stages. Candidates may also be considered for different organizations based on experience and location.

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