ClickHouse

Senior Cloud Data Infrastructure Engineer

ClickHouse

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Senior

Tech Stack

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

Requirements

  • 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