$ cat jobs/senior-software-engineer-backend-card-transaction-platform-e-pliant-51d599c9740f.json
Senior Software Engineer - Backend - Card & Transaction Platform *EU/UK remote* (m/f/d)
ABOUT US Pliant is a European fintech specializing in B2B payment solutions. Our modular, API-first platform helps businesses streamline spending, improve cash flow, and integrate payments into their financial workflows. Designed for industries with complex payment needs, such as travel and fleet, Pliant enables greater efficiency, control, and profitability. We serve two primary customer segments: - Companies looking to optimize operational processes through intuitive apps and APIs, gaining control, automation, and financial flexibility through extended credit lines. - Businesses such as financial software platforms, ERP providers, and banks that want to launch or enhance their credit card offerings using Pliant's embedded finance and white-label solutions. Founded in 2020 and headquartered in Berlin, Pliant supports over 4,000 businesses and more than 20 partners globally. As a licensed e-money institution (EMI), we issue credit cards in 11 currencies across more than 30 countries, helping companies streamline and simplify payments. Learn more at www.getpliant.com http://www.getpliant.com ABOUT THE ROLE The Card & Transaction Platform team keeps Pliant's most critical backend flows running: card issuance and transaction processing. The team holds itself to a high availability bar, getting there through solid engineering and a no-blame culture rather than heroics. With a fast-growing customer base and rising request volumes, this role is for an experienced backend engineer who anticipates problems and prevents them, building and shipping new product features on Java/Spring Boot microservices just as much as keeping them fast and reliable. WHAT YOU'LL DO - Define, measure, and improve SLOs/SLAs and error budgets for critical services. - Help evolve and scale the platform to keep pace with a growing customer base and rising request volumes. - Stay ahead of problems: spot weak points, risky patterns, and capacity limits early and address them before they affect custom
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