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Senior Software Engineer (Typescript / Backend) - AI/ML
Исключительная возможность работать в одной из самых быстрорастущих облачных компаний мира с сильной инженерной культурой. Предложение включает опционы, гибкий график и работу над передовыми AI-технологиями, что делает вакансию крайне привлекательной для Senior-специалистов.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний в бэкенд-разработке (TypeScript/Python), уверенного владения фронтендом (React) и практического опыта работы с AI/ML инфраструктурой. Высокая планка ожиданий обусловлена статусом ClickHouse как технологического лидера и необходимостью работать автономно в распределенной команде.
Анализ зарплаты
Указанная роль Senior уровня в топовой продуктовой компании (Cloud 100) обычно предполагает оплату выше среднего по рынку Нидерландов и Европы. С учетом наличия опционов (equity), совокупный доход может значительно превышать стандартные рыночные показатели для бэкенд-разработчиков.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer (AI/ML) position at ClickHouse. With over five years of experience in full-stack development and a deep focus on TypeScript and React, I have consistently delivered scalable backend services and intuitive data-driven interfaces. My background aligns perfectly with your mission to bridge high-performance database technology with modern AI capabilities.
In my previous roles, I have successfully integrated AI/ML models into production environments, focusing on API architecture and observability. I am particularly drawn to ClickHouse because of its market-leading position in real-time analytics and its recent innovations in vector search and AI workloads. I am confident that my expertise in building robust APIs and my proactive approach to feature ownership will contribute significantly to the ClickHouse Cloud platform.
I am excited about the opportunity to work in a remote-first, high-growth environment and to help shape the future of how companies interact with their data. Thank you for considering my application.
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Описание вакансии
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
NOTE: This role is not office-based, and the final candidate can be in any EMEA country ClickHouse hires in (such as The Netherlands, Germany, Spain, Italy, UK, or Portugal).
We are looking for a Senior Software Engineer to drive the development of AI/ML-powered features in ClickHouse Cloud. In this role, you will bridge the gap between a high-performance database technology like ClickHouse and AI capabilities, implementing AI/ML integrations and end-to-end solutions from the Inference API layer to the user interface that enhance how users interact with and extract value from their data.
What will you do?
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
What you bring along:
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Strong frontend skills with TypeScript/JavaScript and React
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- You have a high level of ownership and can drive features from concept to production with minimal supervision
- You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience building data-oriented interfaces and visualizations
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
#LI-Remote
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of our first 500 employees, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out ourblog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
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Навыки
- TypeScript
- AWS
- Azure
- Python
- GCP
- Machine Learning
- JavaScript
- React
- API Design
- Observability
- ClickHouse
- Vector Databases
Возможные вопросы на собеседовании
Проверка понимания специфики работы с векторными данными в контексте ClickHouse.
Как бы вы спроектировали систему хранения и поиска по векторным эмбеддингам в ClickHouse для обеспечения минимальной задержки?
Оценка навыков проектирования масштабируемых интерфейсов для AI-сервисов.
Какие основные проблемы возникают при интеграции LLM в реальном времени через API и как вы предлагаете обрабатывать длительные задержки (latency) на стороне фронтенда?
Проверка опыта работы с современными AI-фреймворками.
Опишите ваш опыт работы с LangChain или аналогичными инструментами: какие ограничения вы обнаружили при их использовании в продакшене?
Оценка навыков обеспечения надежности систем.
Как вы организуете мониторинг и версионирование моделей в распределенной облачной среде?
Проверка способности доводить продукт до конца.
Расскажите о случае, когда вам пришлось самостоятельно принимать архитектурное решение для новой фичи от идеи до деплоя: с какими трудностями вы столкнулись?
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