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ClickhouseClickhouse

Senior Cloud Data Infrastructure Engineer

Build and operate scalable cloud-native infrastructure for ClickHouse’s serverless database platform, including Kubernetes-based management, metrics systems, and distributed data-plane capabilities. Requires 5+ years of software development experience and production expertise with cloud platforms and Go, C++, or Java.

About the job

Responsibilities

  • Build a cloud-native database platform on public cloud infrastructure.
  • Develop and maintain infrastructure for a serverless ClickHouse cloud environment.
  • Work on an in-house Kubernetes operator for seamless infrastructure management.
  • Improve the metrics pipeline and build systems that generate statistics and recommendations.
  • Collaborate with the ClickHouse core development team and data-plane teams on infrastructure use cases and internal improvements.
  • Architect and build robust, scalable, highly available distributed infrastructure.
  • Participate in PagerDuty on-call rotations, debug production issues, and solve complex operational problems.

Requirements

  • 5+ years of relevant software development experience building and operating scalable, fault-tolerant, distributed systems.
  • Production experience with Go, C++, or Java.
  • Expertise with a public cloud provider such as AWS, Google Cloud, or Azure and infrastructure-as-a-service offerings such as Amazon EC2.
  • Experience with data storage, ingestion, and transformation tools such as Apache Spark or Apache Kafka.
  • Experience working with distributed systems.
  • Strong problem-solving, communication, and cross-functional collaboration skills.
  • Willingness to participate in production on-call support.

Benefits

  • Flexible work environment for remote employees.
  • Employer healthcare contributions.
  • Company stock options.
  • Flexible or generous time off, depending on country.
  • USD $500 home-office setup stipend for remote employees.
  • Opportunities to attend company-wide offsites.

Skills

Kubernetes, Go, C++, Java, AWS, GCP, Azure, Amazon Ec2, Spark, Apache Kafka, Distributed Systems, Pagerduty

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