Software Development Engineer - Bank Payment Network

at  GoCardless

GoCardless are here to support you and we’re committed to making the hiring process inclusive and accessible for everyone. If you need extra support or any adjustments made, please reach out to your Talent Partner.
Remember, we don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

ABOUT US

At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 85,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris and Melbourne.

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. We’re looking for engineers to join our growing Bank Payment Network Group, where you’ll be working on problems that sit at the core of GoCardless: orchestrating and keeping track of the movement of funds, as well as building and maintaining the bank and scheme integrations that make it possible to keep our merchants’ cash flowing.

You will enjoy being a software engineer at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community;
• You enjoy collaborating and learning from people from various backgrounds and experiences;
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.
Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. The teams use: Ruby on Rails, PostgreSQL, BigQuery, and Google Cloud Storage.