Staff Software Engineer, SoFi

• The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker
• Additionally, you will demonstrate SoFi’s core values by honing your skills as an effective communicator, showing personal responsibility, and setting ambitious goals
• If you like working on problems with tangible and lasting impact, we would love to have you on our team!
• Bachelor’s degree, ideally in a technical field, but we understand great engineers come from a variety of different backgrounds and also consider relevant work experience
• 6+ years experience working with modern technologies on a full-stack team
• Strong knowledge of object-oriented programming best practices
• Strong sense of responsibility; driving a project from inception to completion
• Willingness to roll up your sleeves, collaborate with others and get stuff done
• Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture
• Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
• Strong communication and technical leadership skills
• Desire to mentor and help others improve their skills

Desirable

• We are seeking a Staff Software Engineer (Contract) to join the Transactional Fraud Squad
• The Fraud Squad’s mission is to fortify member trust and minimize fraud losses across Checking, Savings, Invest and Credit Card by building safety into the architecture of the products
• On the Fraud Squad, you’ll be a member of a fast-paced, dynamic team of full-stack engineers
• Fraud mitigation requires maintaining a unique balance of scrappy pragmatism against long-term planning and execution in order to quickly fend off emerging attacks while building a maintainable, forward-thinking architecture
• As a Staff Engineer, you'll be tasked with designing and building critical components and features
• You will work closely with stakeholders across the company, implement battle-tested patterns and interfaces, squash bugs, refactor code and continually grow as an engineer
• Develop innovative features and machine learning models leveraging one of the deepest datasets in the fintech space
• Partner with experts in product strategy and management to lead the industry in risk and fraud solutions
• Own major aspects of the technical architecture of the product
• Drive the adoption of machine learning techniques across the engineering organization by developing tools and training techniques
• Collaborate with platform developers to design and build Galileo’s machine learning platform
• Drive large new features from investigation through design and implementation
• Deliver highly available and scalable services in a production environment
• Mentor other engineers, support the technical culture, and help grow the team
• Generate ideas for new initiatives and technologies