Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
TypeScript @ 7
Python @ 4
GCP @ 3
AWS @ 3
Azure @ 3
JavaScript @ 7
React @ 7
API @ 4
Observability @ 4
AI @ 4
ClickHouse @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. Customers include Capital One, Lovable, Decagon, Polymarket, Airwallex, Meta, Cursor, Sony, and Tesla.
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.
Responsibilities
- Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
- Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring ClickHouse works seamlessly with popular frameworks and tools.
- Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
Requirements
- 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.
- High level of ownership; ability to drive features from concept to production with minimal supervision.
- Ability to collaborate and 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; ClickHouse experience is a significant plus.
Compensation
- Typical starting salary for roles based in the United States: $141,000 - $195,000 USD.
- Typical starting salary for roles in US Premium Markets (e.g., San Francisco Bay Area, New York City Metro): $158,000 - $232,000 USD.
These ranges reflect what the company believes to be the minimum and maximum pay for the role at time of posting; actual compensation may vary based on experience, location, and other factors.
Perks
- Flexible work environment; remote-friendly and globally distributed.
- Employer contributions towards healthcare.
- Equity (stock options) for new team members.
- Flexible time off in the US; generous entitlement in other countries.
- $500 home office setup for remote employees.
- Global gatherings and company-wide offsites.
Culture & Equal Opportunity
- As part of a rapidly scaling startup, you will help shape company culture.
- ClickHouse provides equal employment opportunities and prohibits discrimination and harassment based on legally protected characteristics.
Contact & Privacy
- For compensation questions: [email protected].
- Privacy statement available at ClickHouse's applicant privacy notice link.