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SeniorHybridSan Francisco

Backend Engineer

O
OpenAI
Уровень
Senior
Формат
Hybrid
О роли

Описание вакансии

About the Team

The Software Engineering team is responsible for designing and building the scalable, performant, and secure backend systems that power our products—from early prototypes to large-scale deployments. We collaborate closely with product, hardware, and full-stack teams to ensure our infrastructure enables fast iteration while setting a strong foundation for long-term growth.

About the Role

As a Backend Engineer, you will design and build services, APIs, and infrastructure that support evolving product needs. You’ll apply a deep understanding of backend systems and maintain enough end-to-end context—from hardware to cloud—to guide technical decisions that best serve the product and team.

We’re looking for engineers who thrive in fast-paced, collaborative environments and care deeply about building robust systems that scale.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

Responsibilities
  • Architect, build, and maintain high-performance, secure backend systems.
  • Design APIs, data models, and infrastructure to support evolving product needs.
  • Balance near-term development velocity with long-term maintainability and scalability.
  • Collaborate with cross-functional teams to ensure cohesive, end-to-end solutions.
Requirements
  • 7+ years of professional software engineering experience, with a focus on backend systems.
  • Proven track record of building and scaling systems from early stage to large scale.
  • Proficient with Python and Go, and familiar with a range of server-side technologies.
  • Strong grasp of system design, performance optimization, and security best practices.
  • Ability to reason about full-stack tradeoffs from hardware through cloud infrastructure.
  • Nice to have: experience with distributed systems and cloud architectures.
  • Nice to have: background in instrumentation, analytics, and performance tuning.
  • Nice to have: familiarity with hardware-cloud integrations or applied AI services.
Стек и навыки

С чем работаем