Staff Software Engineer, Python

A Staff Software Engineer at http://Realtor.com is a technical leader that focuses on ambiguous problems
for the squad. You understand the long-term business needs and impacts of technology decisions.
You help and guide the team in making the right trade-offs between short-term requirements and the
long-term business/operational success of the squad. You provide system-wide view and design
guidance to the squad members and also influence the design decisions made by other teams. You
help the team to make trade-offs and re-use where possible. You work on project ideas with Product
Management and engage with customers, stakeholders, and peers. Your code submissions and
approach to work are exemplary. You mentor by actively participating in the code review process,
design discussions, and team planning.
What will you do?
Responsibilities
● Lead the design and delivery for the ambiguous/complex problem space in the squad.
● Provide guidance to team/s on system architecture and design.
● Develop solutions that are of high quality, scalable, and reliable
● Work collaboratively in squads composed of Product Managers, Designers, Analysts, and
Engineers.
● Mentor and develop a team of engineers
● Investigate and prototype technologies that can be leveraged to introduce new innovations
● Be self-directed, take initiative and drive towards solutions with little guidance
What will you bring?
Requirements
● Bachelor’s degree in Computer Science or equivalent experience
● 8+ years experience in software development
● 3+ years of experience contributing to architecture and design
● Experience in building software or interest and ability to learn in the http://Realtor.com stack of
Python (FastAPI, Pydantic, Numpy, Pandas) and React
● Experience with database systems and AWS knowledge preferred
● Experience delivering high value to customers quickly, frequently, with regular feedback and
support
● Experience with system design and trade-offs between design approaches
● Strong software engineering best practices (e.g. testing, code reviews, documentation).