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About the role
Trustly guarantees payments in North America, and every approval and recovery decision runs on our risk decisioning platform. You’ll lead the engineering team that builds and runs it: its architecture, reliability and modernization, and the path that takes Data Science models into production. You’ll work closely with Risk Product Management, which owns the product roadmap, and with Data Science and payments engineering. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 10+ years in backend software engineering, including 4+ years managing engineers
- Experience owning a real-time, high-availability decisioning system in production, such as a fraud, risk, credit or payment authorization platform
- Strong Java or Kotlin and a background in distributed systems. You can review code and designs and challenge them
- Experience with rule engines, model serving and real-time scoring, including putting ML models into production
- A track record of modernizing a business-critical platform while it stays in service
- Experience owning CI/CD and releases for production services, and using delivery and reliability metrics to improve the team
More about this role
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.
Trustly guarantees payments in North America, and every approval and recovery decision runs on our risk decisioning platform. You’ll lead the engineering team that builds and runs it: its architecture, reliability and modernization, and the path that takes Data Science models into production. You’ll work closely with Risk Product Management, which owns the product roadmap, and with Data Science and payments engineering.
Set the technical strategy and roadmap for the risk engine...
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