Cloud Software Engineer - Observability Platform
ClickHouse - United States (remote)
Posted Oct 22, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Where they hire
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About this role
Cloud Software Engineer - Observability Platform United States (remote) 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! ClickHouse is looking for an experienced engineer to join our Observability team. We build and operate the telemetry platform that powers both internal monitoring and the observability features our customers rely on. Our systems ingest trillions of events per day with sustained throughput in the tens of millions per second. Engineers on the team are hybrid software, systems, and infrastructure engineers who ensure this platform is reliable, scalable, and efficient. We work closely with product and infrastructure teams and play a key role in major engineering initiatives across the company. We're looking for someone who thrives in fast-paced environments, isn't afraid to get hands-on during incidents, and knows when to automate the pain away. While experience in
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