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Blend Labs // consumer lending tech
 
Engineering, Full Time    San Francisco, New York    Posted: Friday, April 03, 2020
 
   
 
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JOB DETAILS
 
Blend makes the process of getting a loan simpler, faster, & safer. With its digital lending platform, Blend help financial institutions including Wells Fargo & U.S. Bank increase productivity & deliver exceptional customer experiences. The company processes nearly $2 billion in loans daily, helping millions of consumers gain access to the capital they need to lead better lives.

The Lending Platform Team is one of the core horizontal platform teams that provides the foundational components for the entire of Blend engineering to build microservices. We provide a scalable system that enables product teams to build new features with speed & quality.

The Lending Platform Team provides the fundamental services & shared libraries that other engineers need to build services. The team is also responsible for driving the long term architecture for the company & is currently carving out utility services (for ex. Email Service, File Storage Service) that speeds up the monolith to microservices migration for the company. We do a lot of experimenting with new technologies & frameworks, mapping these to relevant problem spaces in the company & then providing utilities to ease the adoption of such technologies by other engineering teams(for ex. testing out Kafka right now). We also establish standards for engineering practices like code quality, accepted patterns, frameworks etc & frequently provides guidance around their usage.

The challenges we face are highly technical & highly impactful for other engineering teams in the company! We are looking for engineers who are passionate about distributed systems design, performance optimization, software architecture & scalability. We are looking for a strong collaborator who is willing to work with feature development teams to understand their needs from the platform, to design solutions that fulfill their immediate needs but that also establish good patterns for the long-term scalability & maintainability of the application.

 
 
 
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