The posting, in Trustly's own words
archived Oct 19, 2026WHO WE ARE
At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays.
About the team
Trustly moves money between consumers, merchants and banks across the US. We are building our US engineering hubs in San Francisco and New York, starting with a small group of staff engineers who will take technical ownership of our most critical systems. You will own Payments Orchestration: Transactions end to end: its architecture, its reliability, its operation in production, and where it goes next. You'll own the transaction path: the payments APIs (authorize, capture, deposit, pre-auth, refund, reclaim, refresh and retrieval), the transaction lifecycle and state, and how each payment is coordinated across account data, risk scoring and execution on the bank rails. You'll start by learning a mature, business-critical codebase fast, using AI tools to map it and writing the documentation others will build from. Within your first year, you'll help hire and lead the team that owns it with you.
Read the full posting ↓
What you'll do
- Own the architecture, service contracts and production health of Payments Orchestration: Transactions. - Own the operation of your services: on-call, SLAs, incident response and root-cause fixes. There is no separate operations team; the team that builds the service runs it. - Meet the observability standards set for every service, and make the service measurably better each quarter. - Use AI tools to understand existing code quickly, then turn what you learn into design docs, interface definitions and runbooks that engineers and AI agents can work from. - Partner with the engineers who run these systems today, across the Americas and Europe, to transfer knowledge. - Direct AI-assisted implementation: write and close implementation plans, review output against requirements, and own integration testing. - Help hire and shape the team that will own this domain.