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Software Engineer – Backend, Pricing
Отличная вакансия в известной технологической компании с сильной инженерной культурой. Привлекательные бонусы (unlimited PTO), работа над критически важным продуктом и использование современного стека (Go/Python, AI-tools).
Сложность вакансии
Высокая сложность обусловлена требованиями к опыту (5+ лет), глубоким знаниям распределенных систем и SQL, а также необходимостью тесного взаимодействия с Data Science командами. Роль подразумевает лидерство в технических проектах и менторство.
Анализ зарплаты
В Торонто для Senior Backend ролей рыночный диапазон составляет 140k-190k CAD. Учитывая масштаб Opendoor, можно ожидать предложение в верхней части рынка, включая опционы.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Backend Engineer position within the Pricing team at Opendoor. With over 5 years of experience in backend development and a deep proficiency in Go and Python, I have a proven track record of building resilient microservices and optimizing high-performance SQL queries for large-scale PostgreSQL databases. My background in architecting APIs and working with distributed systems aligns perfectly with your mission to scale the pricing engine that powers Opendoor’s business.
In my previous roles, I have successfully led technical projects from design to rollout, collaborating closely with data science teams to productionize complex models. I am particularly drawn to this role because of the direct business impact of the Pricing team's work and Opendoor's innovative approach to real estate. I am eager to bring my expertise in scalability and reliability to your team and help mentor other engineers as we evolve the pricing platform.
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Описание вакансии
Software Engineer – Backend, Pricing (Senior level or higher)
Toronto
About the Team
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
Compensation
Compensation range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
#LI-DM
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're 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.
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Навыки
- Go
- Python
- PostgreSQL
- SQL
- Microservices
- API Design
- Distributed Systems
- Kafka
- Redis
- gRPC
- BPMN
Возможные вопросы на собеседовании
Позиция требует глубокого понимания SQL и работы с большими данными в PostgreSQL.
Расскажите о самом сложном случае оптимизации SQL-запроса в вашей практике. С какими проблемами производительности вы столкнулись и как их решили?
Команда Pricing работает с микросервисами и распределенными системами.
Как вы обеспечиваете консистентность данных между несколькими микросервисами при проектировании критически важных финансовых систем?
Вакансия предполагает тесное сотрудничество с Data Science для внедрения моделей в продакшн.
Опишите ваш опыт интеграции ML-моделей в бэкенд-инфраструктуру. Какие основные сложности возникали при обеспечении низкой задержки (latency)?
В описании упоминается использование AI-инструментов (Claude Code, Cursor).
Как вы используете AI-ассистентов в своей ежедневной разработке и как, по вашему мнению, они влияют на качество кода и скорость доставки фич?
Роль Senior уровня подразумевает лидерство.
Приведите пример, когда вам нужно было убедить стейкхолдеров в необходимости сложного технического изменения. Как вы аргументировали свою позицию?
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