The project transforms the mortgage industry by automating and streamlining the mortgage transaction lifecycle through data science and machine learning. Lenders and other mortgage stakeholders are confident they can optimize performance, increase loan profitability, and gain actionable insights by automating manual workflows with our next-generation BI analytics layer.

• experience in SAAS software for large enterprises, distributed systems, scalability and improvement
• 6-9 years of experience OR Master's degree and 4-7 years of experience
• high-level skillset in basic programming languages (Python, Django)
• experience with distributed systems and inter-service communication
• working with protocols and APIs such as REST and NSQ
• experience with relational databases and SQL
• knowledge of JavaScript (Vue.js)
  
  Nice to have: 
• Deployment to public cloud services (AWS, GCP, etc.)
• Experience in functional/acceptance testing
• Containerization (Docker/Kubernetes) experience
• Deep understanding of distributed systems and building scalable/redundant systems
• Experience in service monitoring, metrics, alerts, log collection, and tracking

• building web applications and services
• design System and Software Architecture
• ensure the quality of the delivered feature
• generate ideas for innovative technical solutions
• diagnose and solve technical problems, create unit tests and automation
• provide vision and direction for software development best practices and methodology
• review code using best practices and the latest technology to help ensure technical excellence