Senior Cloud Data Infrastructure Engineer

Position Overview

• Location Type: Remote, New York Area, San Francisco Area, Los Angeles, CA, Washington, DC, Seattle, WA
• Job Type: Full-time
• Salary:
  • General US Remote: $133,450 - $197,200 USD
  • New York Area / San Francisco Area: $141,300 - $208,800 USD
  • Los Angeles, CA / Washington, DC: $141,300 - $208,800 USD
  • Seattle, WA: $141,300 - $208,800 USD

About ClickHouse

Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company empowers users to generate real-time analytical reports through SQL queries, emphasizing speed in managing escalating data volumes. Enterprises globally, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more, rely on ClickHouse Cloud. It is available through open-source or on AWS, GCP, Azure, and Alibaba.

The Cloud AutoScaling team is dedicated to implementing robust vertical and horizontal auto-scaling capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the auto-scaling infrastructure to transform ClickHouse into a fully functional server-less database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability.

Responsibilities

• 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.
• Architect and build a robust, scalable, and highly available distributed infrastructure.

Requirements

• Experience: 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Kubernetes: Experience building operators with Kubernetes, controller runtime.
• Programming Languages: Production experience with programming languages like Go, C++.
• Production Operations: Not a stranger to PagerDuty On-call, debugging things in production, and a strong problem-solver.
• Cloud Expertise: Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2).
• Data Technologies: Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools).
• Passion: Passionate about solving data problems at Scale.
• Nice to Have: Experience with Python (uv, rye, fastapi) and Data Science (Pandas, NumPy etc).
• Communication: Excellent communication skills and the ability to work well within and across engineering teams.