Fullstack Software Engineer - Hybrid - San Francisco

Software Engineer - Hybrid - San Francisco

Join to apply for the Software Engineer - Hybrid - San Francisco role at Home Vision.

We’re helping the home valuation and appraisal industry work more efficiently to value a $40 trillion asset class and bring equity and transparency to the US housing market. We’re funded by Initialized Capital and are seeing strong traction and revenue growth. Our team is growing and we are looking for a talented Staff Software Engineer to drive feature development for our new product line.

• You’ll lead and deliver solutions on a modern stack to improve our SaaS application serving the home appraisal industry.
• The core of the system is built with Go, React/Typescript, and Python and runs on top of technologies including AWS lambda, SQS and Postgre
  
  SQL.
• You will work independently or as part of a small team, identifying robust solutions that can be implemented rapidly.
• In addition you will help drive a continuous improvement process by driving the design, productivity, quality, and observability of our backend over time.

• Minimum of 3 years experience owning large server side projects with a strongly typed language
• Proven ability to lead significant multi-person projects
• A drive and ability to build high quality software while improving your skills along the way
• Ability to coach and support other developers
• Interest and ability to work anywhere in the stack - from operations to the UI
• US Residency
• Able to meet in person in San Francisco a few days a week

• Experience in Front-End development and/or machine learning
• Experience working on a SAAS platform
• Experience and/or interest in devops

• Support in growing your skills and moving your career forward
• Ability to participate in conceiving and designing new functionality
• Ability to influence and drive innovation in technical solutions
• Opportunities to work in new areas outside of your experience
• Experience in a modern stack

Home Vision is a team of passionate engineers, data scientists, designers, and real estate professionals reimagining home appraisal software using data science and machine learning.