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Backend Software Engineer, ChatGPT Enterprise
Это одна из самых престижных вакансий в индустрии на данный момент. Работа в OpenAI над флагманским продуктом ChatGPT Enterprise предлагает уникальный масштаб задач, работу с передовыми технологиями ИИ и высочайшую рыночную ценность специалиста.
Сложность вакансии
Высокая сложность обусловлена экстремальными требованиями к надежности и безопасности систем OpenAI, а также необходимостью опыта работы с распределенными системами и комплаенсом (HIPAA/FINRA). Ожидается уровень инженера с опытом от 5 лет, способного работать в условиях неопределенности стартапа.
Анализ зарплаты
OpenAI известна своими компенсационными пакетами, которые значительно превышают средние показатели по рынку Сан-Франциско, особенно за счет акций (PPU). Указанные рыночные цифры отражают базовую зарплату для Senior-уровня, но совокупный доход в OpenAI может быть в 1.5-2 раза выше.
Сопроводительное письмо
I am writing to express my strong interest in the Backend Software Engineer position for the ChatGPT Enterprise team. With over 5 years of experience in building scalable distributed systems and a deep focus on reliability and security, I am excited by the opportunity to help OpenAI deliver seamless, compliant, and high-performance AI solutions to businesses worldwide.
In my previous roles, I have successfully designed and implemented complex backend architectures involving granular access controls and data residency requirements, which aligns perfectly with your enterprise controls track. I thrive in fast-paced, product-driven environments and am eager to apply my expertise in Python and Go to enhance the reliability and operational maturity of ChatGPT Enterprise.
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Описание вакансии
About the Team
OpenAI’s ChatGPT Enterprise team sits within the B2B Applications organization and is responsible for making ChatGPT work for businesses at scale. Our goal is to deliver a seamless experience where people can use the same product at home and at work, while meeting the requirements that only enterprises care about—security and admin controls, regulatory compliance (e.g., HIPAA/FINRA), and data / compute residency across geographies. The team’s roadmap spans three core workstreams: enterprise controls, user value & activation, and company-specific products (e.g., Company Knowledge).
About the Role
We’re hiring backend engineers to build the product experiences that turn ChatGPT into an indispensable tool for teams—while ensuring the trust, controls, and performance enterprises require. This role is especially focused on the enterprise controls track: designing collaboration experiences, onboarding and engagement loops, and product affordances that help employees discover and adopt advanced capabilities (including agents and custom GPT-style workflows).
In this role, you will:
- Build backend systems that power enterprise controls, including permissions, policy enforcement, auditability, and compliance workflows.
- Design residency- and region-aware architectures that enable enterprise workloads to meet country- and customer-specific requirements.
- Partner with product, security, legal/compliance, and adjacent engineering teams to turn enterprise requirements into scalable technical systems.
- Improve the reliability, observability, and operational maturity of the services that underpin ChatGPT Enterprise.
Your background might look something like:
- 5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
- Former founder, or early engineer at a startup who has built a product from scratch is a plus
- Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts
- Experience designing and operating distributed systems with a strong emphasis on reliability, performance, and security
- Experience building systems involving access controls, identity, compliance, privacy, data governance, or other enterprise platform concerns
- Some experience with relational databases like Postgres/MySQL
- Care deeply about reliability, safety, and performance in production environments
- Interest in AI/ML (direct experience not required)
- Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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Навыки
- TypeScript
- Python
- Rust
- PostgreSQL
- Compliance
- Security
- Distributed Systems
- Backend
- MySQL
- Go
Возможные вопросы на собеседовании
Роль подразумевает работу с корпоративными требованиями к хранению данных в разных регионах.
Как бы вы спроектировали архитектуру распределенной системы, чтобы обеспечить хранение и обработку данных строго в определенных географических регионах (Data Residency)?
Безопасность и контроль доступа — ключевые аспекты ChatGPT Enterprise.
Опишите ваш опыт реализации сложных систем управления доступом (RBAC/ABAC) в микросервисной архитектуре. С какими трудностями вы сталкивались?
OpenAI ценит надежность и производительность.
Расскажите о самом сложном инциденте в продакшене, который вы расследовали. Какие метрики и инструменты обсервабильности помогли вам найти причину?
Вакансия предполагает работу в быстрорастущей компании с нечетко определенными задачами.
Приведите пример, когда вам приходилось самостоятельно принимать архитектурное решение в условиях отсутствия полной спецификации. Как вы расставляли приоритеты?
Работа с корпоративными клиентами требует соблюдения строгих стандартов.
Как вы подходите к обеспечению аудируемости (auditability) действий пользователей в высоконагруженной системе без значительной потери производительности?
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