Cloud Software Engineer - Observability Platform

ClickHouse
Canada (remote)Posted 9 March 2026

Job Description

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 roles like Software Engineer, SRE, Systems Engineer, or DevOps is valuable, we care most about your problem-solving skills and mindset. If you enjoy tackling complex challenges across system design, infrastructure, automation, and incident response—while helping us scale with confidence—you’ll fit right in. What you’ll do Design, build, and operate distributed systems that power observability across ClickHouse Cloud Own reliability, performance, and cost-efficiency of our telemetry pipeline and storage systems Take part in the on-call rotation and help drive root-cause resolution and long-term fixes Build tooling and automation to eliminate repetitive operational work Help shape the roadmap for observability by identifying bottlenecks and scaling challenges Collaborate with other engineering teams to improve their observability posture Contribute to design discussions, architecture reviews, and mentor teammates What we’re looking for Strong bias for action and ownership — you ship, fix, and improve systems proactively Great production debugging skills and a problem-solving mindset Strong communication skills; comfortable working in a remote, async-friendly team Experience balancing system performance, reliability, and cost Ability to iterate quickly: build MVPs, collect feedback, and improve continuously Requirements 5+ years building and running production systems at scale Proficiency in Golang Experience with Kubernetes, Helm, ArgoCD, and Terraform or similar IaC tools Comfortable working with at least one major cloud provider (AWS, GCP, Azure) Experience with OpenTelemetry, Prometheus, Grafana, or similar tools Experience with ClickHouse preferred #LI-Remote Compensation For roles based in the United States , t he 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, ... (truncated, view full listing at source)
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