Staff Software Engineer

Realtor.com Careers•Austin, TX

9d•Hybrid

About The Position

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Are you passionate about building software solutions that solve real customer problems? Do you enjoy fast-paced environments, modern programming languages, thoughtful design patterns, and scalable architectures? You’ll be right at home here. As a Staff Software Engineer on Client Experiences, you’ll help shape and build the systems behind Realtor.com®’s most impactful agent and consumer workflows. Your work will directly influence how real estate professionals manage listings, collaborate with their teams, and grow their businesses—while also powering intuitive, reliable experiences for buyers and sellers at critical moments in their journey. At Realtor.com®, Staff Engineers are trusted technical leaders who thrive in ambiguity. You think beyond individual features and services, understand the long-term business impact of technology decisions, and influence teams across the organization to make sound trade-offs between short-term delivery and long- term scalability, reliability, and maintainability. You’ll partner closely with Product Managers, Designers, and Engineering leaders to shape solutions early, guide architectural decisions across teams, and raise the bar for engineering excellence—while continuing to contribute high-quality, impactful code. We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

Requirements

Bachelor’s degree in Computer Science or equivalent practical experience
8+ years of professional software development experience
3+ years of experience contributing to system architecture and design
Experience building backend systems, or strong aptitude to learn our stack: Python, NestJS, GraphQL, TypeScript, React, and Next.js
Strong system design skills and experience making trade-offs between competing architectural approaches
A track record of delivering customer value iteratively, with a focus on quality and feedback
Strong engineering fundamentals, including testing, code reviews, observability, and documentation

Nice To Haves

Experience with data platforms and pipelines (e.g., Snowflake, Airflow) and familiarity with AWS preferred

Responsibilities

Lead the design and development of scalable backend systems supporting critical client and agent experiences
Influence architectural and technical decisions across multiple teams and systems
Partner with Product Managers and Designers to shape solutions to complex, ambiguous problems from concept through execution
Own system quality and production excellence, including performance profiling, incident response, and root cause analysis
Design and implement secure, reliable, scalable, and well-documented APIs using Apollo GraphQL
Build reusable components and frameworks for data transformation, anomaly detection, and data quality improvements
Identify opportunities to reduce complexity through reuse, standardization, and thoughtful system design
Mentor engineers through code reviews, design discussions, and technical guidance
Communicate technical ideas and system behavior clearly to internal stakeholders
Operate effectively in an Agile/Scrum environment while remaining self-directed and outcome-focused