Senior Cloud Data Infrastructure Engineer

ClickHouse ClickHouse · Data AI · EMEA · Engineering

This role focuses on building and maintaining the infrastructure for a cloud-native database platform, evolving it into a serverless solution. It involves working with Kubernetes operators, improving metrics pipelines, and architecting distributed systems for scalability and high availability. While the company mentions AI workloads and customers, the core responsibilities of this specific role are centered on data infrastructure engineering rather than direct AI/ML model development or deployment.

What you'd actually do

  1. Build a cutting-edge cloud-native database platform on top of the public cloud.
  2. Work on our in-house Kubernetes operator to support seamless infrastructure management.
  3. Improve the metrics pipeline and build systems to generate better statistics and recommendations.
  4. Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements.
  5. Architecting and building a robust, scalable, and highly available distributed infrastructure

Skills

Required

  • 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
  • Production experience with programming languages like Go, C++ or Java
  • 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).
  • Experience working with distributed systems

Nice to have

  • You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver
  • You are passionate about solving data problems at Scale.
  • You have excellent communication skills and the ability to work well within and across engineering teams.