Senior Cloud Data Infrastructure Engineer

at ClickHouse
📍 United States
USD 133,400-232,000 per year
SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 6 Go @ 4 Kafka @ 4 Kubernetes @ 4 Python @ 1 SQL @ 4 Spark @ 4 Statistics @ 4 GCP @ 4 Algorithms @ 4 Distributed Systems @ 6 Data Science @ 1 AWS @ 4 Azure @ 4 Communication @ 4 FastAPI @ 1 IaaS @ 4 Debugging @ 7 OLAP @ 4 Pandas @ 1

Details

Established in 2009, ClickHouse is a leading open-source column-oriented database system focused on becoming the fastest OLAP database globally. It enables users to generate real-time analytical reports via SQL queries, emphasizing high-speed management of escalating data volumes. ClickHouse Cloud is trusted by enterprises worldwide including Lyft, Sony, IBM, GitLab, Twilio, and HubSpot. It is accessible as open source or on AWS, GCP, Azure, and Alibaba.

Responsibilities

  • Build a cutting-edge Cloud Native platform on top of public cloud infrastructure.
  • Improve metrics pipelines and develop algorithms for enhanced autoscaling statistics and recommendations.
  • Develop the autoscale and Kubernetes operator to support seamless vertical and horizontal auto-scaling.
  • Collaborate closely with the ClickHouse core development team and other data plane teams to support autoscaling use cases and enhance internal infrastructure.
  • Architect and build a robust, scalable, and highly available distributed infrastructure.

Requirements

  • 5+ years of software development experience building and operating scalable, fault-tolerant distributed systems.
  • Experience building Kubernetes operators and working with controller runtime.
  • Production experience with programming languages such as Go and C++.
  • Comfortable with PagerDuty on-call duties, production debugging, and strong problem-solving skills.
  • Expertise with public cloud providers (AWS, GCP, Azure) and their IaaS offerings (e.g., EC2).
  • Experience with data storage, ingestion, and transformation tools like Spark, Kafka, or similar.
  • Passion for solving large-scale data problems.
  • Experience with Python frameworks (uv, rye, fastAPI) and data science libraries (Pandas, NumPy) is a plus.
  • Excellent communication skills and ability to work across engineering teams.

Benefits

  • Flexible, globally distributed, and remote-friendly work environment.
  • Employer contributions toward healthcare.
  • Equity in the company through stock options.
  • Flexible time off policy in the US and generous time off in other countries.
  • $500 home office setup for remote employees.
  • Opportunities for global in-person company gatherings.
  • Inclusive culture shaping opportunity as part of first 500 employees.

Compensation

Salary ranges depend on location within the United States as follows:

  • New York / San Francisco Area: $157,000 - $232,000 USD
  • General US Remote: $133,450 - $197,200 USD
  • Los Angeles, CA / Washington, DC: $141,300 - $208,800 USD
  • Seattle, WA: $141,300 - $208,800 USD

Exact offer positioning depends on experience, qualifications, skills, business needs, and geographic location.