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ClickhouseClickhouseUnited States

Senior Cloud Software Engineer - AutoScaling

Develops and maintains auto-scaling infrastructure including Kubernetes operators for ClickHouse cloud platform. Requires 5+ years building scalable distributed systems, expertise in Go/C++/Java, public clouds (AWS/GCP/Azure), and data tools like Spark/Kafka.

133k – 232k/yr
Remote5+ YOEDevOps / SRE

About the role

Responsibilities

  • Build a cutting-edge cloud-native database platform on top of the public cloud.
  • Work on the autoscaling and our in-house Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling.
  • Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations.
  • 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++ or Java.
  • 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.

Nice-to-haves

  • Experience with Python (uv, fastAPI) Data Science (Pandas, NumPy etc).

Compensation

  • Typical starting salary in the US: $133,450—$197,200 USD.
  • In US Premium Markets: $157,000—$232,000 USD.

Skills

KubernetesGoC++JavaAWSGCPAzureEC2SparkKafkaPythonpandasNumPyPagerdutyController Runtime

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