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 4,000 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 can be located anywhere ClickHouse has a hiring presence.

With over 42,000 stars on GitHub, ClickHouse is the fastest and most resource effective open-source database for real-time apps and analytics.



Our Core Engineering teams own the heart of our ClickHouse Open Source project. We are looking for exceptional C++ engineers to join our remote-first, global team and continue to scale and grow both our open source and ClickHouse Cloud offerings. More specifically, our Performance Engineering team is seeking engineers who love optimizing the performance of distributed systems.

What will you do?
- As part of the ClickHouse Core Performance team, you will analyze and optimize the performance of the core ClickHouse database. The team works on many different topics such as query optimization, distributed query optimization, relational operators (e.g. aggregation and joins), caching, and low-level optimizations like SIMD instructions.
- You will ensure that the database performance does not deteriorate over time by extending existing and adding new performance tests, based on real-world or synthetic datasets.
- You will serve as a resource for the Support Eng

📌 Core Software Engineer (India)
🏢 ClickHouse
📍 India