Senior Cloud Data Infrastructure Engineer

ClickHouse

full-time

Posted on: 9/4/2025

Location: 🇺🇸 United States

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💰 $133,450 - $197,200 per year

Senior

AWSAzureCloudDistributed SystemsEC2GoGoogle Cloud PlatformKafkaKubernetesNumpyPandasPythonSparkSQL

About the role

Build a cutting-edge Cloud Native platform on top of the public cloud.
Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations.
Work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling.
Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support auto-scaling use cases as well as other internal infrastructure improvements.
Architecting and building a robust, scalable, and highly available distributed infrastructure.
Develop and maintain the auto-scaling infrastructure to transform ClickHouse into a fully functional server-less database solution and evolve ClickHouse into a cloud-native database system.

5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
Experience building operators with Kubernetes, controller runtime.
Production experience with programming languages like Go, C++.
You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver.
Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2).
Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools).
You are passionate about solving data problems at Scale.
Experience with Python (uv, rye, fastAPI) Data Science (Pandas, NumPy etc) is good to have.
You have excellent communication skills and the ability to work well within and across engineering teams.