Software Engineer - Database Integrations ; remote

Software Engineer - Database Integrations

United States (remote)

Recognized on the 2025 Forbes Cloud 100 list, Click House 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, Click House 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: We are hiring for this role remotely in any country Click House has a hiring presence.

The Click Pipes - Database Integrations team builds the platform that enables real‑time data replication from databases into Click House at petabyte scale.

As a member of this team, you will be solving complex database‑related challenges and distributed systems problems, such as understanding database internals to optimize snapshotting strategy, handling schema evolution during live replication, managing data type compatibility across systems, maintaining low end‑to‑end latency under unpredictable loads, and leveraging durable execution frameworks to ensure data consistency over unreliable networks. We work in the open — our database integrations are built on PeerDB, an open‑source CDC platform we actively maintain and contribute to.

• Design and develop high-throughput integrations with databases (Postgres, MySQL, Mongo
  
  DB), data lakes (Iceberg, Delta Lake), and data warehouses (Big Query, Snowflake).
• Handle edge cases in real‑world production scenarios: unconventional database setups, internals of data types, database upgrades/failovers, large transactions, etc.
• Design integration solutions to enable users to fully harness Click House's performance and throughput.

• Debug complex issues in production leveraging runtime diagnostics (e.g. pprof, parca) and observability tools (e.g. metrics, logging, tracing).
• Build and improve infrastructure and tools to increase system reliability, reduce incident response time, and simplify/automate operations.
• Write clear documentation, both publicly and internally.
• Participate in on‑call rotation.

• Work directly with customers to understand integration requirements and discover gaps in existing product.
• Collaborate cross‑functionally with internal teams to ensure operational efficiency.
• Lead technical discussions and influence product roadmaps.

• 5+ years of industry experience building data‑intensive software solutions.
• Proficient in Go, or experienced in systems programming with willingness to ramp up quickly in Go.
• Cloud‑native experience deploying and operating services on at least one major cloud platform (AWS/GCP/Azure).
• Practical experience with Kubernetes.
• Strong problem solver and solid production debugging skills.
• Clear communication in writing (design docs, code review) and verbally (technical discussions, customer calls, incident response).

• Experience with database replication technologies (CDC, logical replication).
• Experience with durable execution frameworks (Temporal).
• Experience with data formats and protocols (Avro, Parquet, Protobuf).
• Experience with modern data processing frameworks (e.g. Kafka, Spark, Flink).
• Experience with maintaining/contributing to open‑source software.

• Work on challenging problems at the intersection of database technologies, distributed systems, and cloud‑native architecture.
• Work on a team that builds software in the open (PeerDB), and that cares about the craft of engineering, documentation, and continuous learning.
• Be part of a high‑visibility team that delivers meaningful impact to customers in a dynamic, hyper‑growth environment.

#LI-remote

The typical starting salary for this role…