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Opendoor
The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.
We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.
As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.
What You’ll Do
•Own the design, implementation, and evolution of core pricing services
•Design data models and write high-performance SQL over large PostgreSQL datasets
•Architect and improve APIs and integrations with Opendoor’s core marketplace platform
•Lead technical design reviews and set best practices for code quality, testing, and observability
•Partner with data science to productionize pricing models and build robust model-serving pipelines
•Drive reliability, latency, and scalability improvements across pricing systems
•Mentor other engineers and help grow the technical capabilities of the team
•Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end
What You’ll Need
•5+ years of professional backend software engineering experience
•Significant experience building and operating production systems in Go or Python
•Deep proficiency with SQL and relational databases (PostgreSQL preferred)
•Strong track record designing, building, and evolving APIs in a microservices environment
•Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
•Experience leading technical projects from design through rollout and support
•Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders
Nice to Have
•Experience with Kafka or similar event-streaming technologies
•Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
•Experience with BPMN or other workflow engines and long-running business processes
•Experience with Redis or other caching / storage optimization technologies
•Experience with gRPC and service-to-service communication patterns at scale
•Prior experience in pricing, marketplaces, or other data-intensive domains
About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. Its how people build wealth, stability, and community. Its how families put down roots, how neighborhoods strengthen, how the future gets built. Were building the modern system of homeownership giving people the freedom to buy and sell on their own terms.
We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Business Model, Business Processes, Caching, Communication Skills, Cross-Functional, Data Modeling, Data Science, Data Sets, Distributed Computing, Engineering, GitHub, Leadership, Machine Learning, Mentoring, Microservices, PostgreSQL, Pricing, Product Pricing, Production Systems, Programming Tools, Project Design, Python Programming/Scripting Language, Real Estate, Redis, Relational Databases (RDBMS), SQL (Structured Query Language), SQL Databases, Sales, Software Engineering, Streaming Technology, Systems Scalability, Technical Leadership, Technical/Engineering Design
Opendoor
At Opendoor, we’re on a mission to make it simple to buy and sell homes. The traditional process is broken, with an average home taking over 90 days to sell and costing thousands of dollars. We make buying and selling a home stress-free and instant.
We’ve built an exceptional team, have raised over $300 million from top-notch investors and are growing fast, buying and selling more than $100 million of homes per month.
100 to 499 employees
Real Estate/Property Management
2014
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