Senior Cloud Engineer – AutoScaling (Performance and Scalability)

at ClickHouse
📍 United States
USD 133,400-197,200 per year
SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 6 Go @ 4 Kubernetes @ 4 SQL @ 4 GCP @ 4 Distributed Systems @ 4 AWS @ 4 Azure @ 4 Communication @ 4 Performance Optimization @ 4 Rust @ 4 OLAP @ 4

Details

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, and HubSpot, rely on ClickHouse Cloud. It is available open-source or on AWS, GCP, Azure, and Alibaba.

Role overview

The Cloud AutoScaling team implements robust vertical and horizontal auto-scaling capabilities within the ClickHouse cloud environment. The team develops and maintains auto-scaling infrastructure to transform ClickHouse into a fully functional server-less database solution, working closely with the core database team and other cloud teams to improve cloud infrastructure performance and scalability.

Responsibilities

  • Build a cutting-edge cloud-native platform on top of public cloud providers.
  • Work on distributed systems such as ClickHouse servers, keepers, and caches.
  • Improve systems to maximize performance for customers via auto-scaling.
  • Collaborate closely with the ClickHouse core development team and other data plane teams.
  • Architect and build robust, scalable, and highly available distributed infrastructure.

Requirements

  • 5+ years of software development industry experience building and operating scalable, fault-tolerant, distributed systems.
  • Proven experience writing business-critical, production-level distributed systems software in Go, C++, or similar languages such as Rust.
  • Skilled in benchmarking, testing, profiling, tuning, and scaling, with hands-on experience in low-level performance optimization for databases and cloud systems.
  • Experience building services and deploying them on Kubernetes.
  • Strong knowledge of public cloud infrastructure (AWS, GCP, or Azure).
  • Excellent communication skills and ability to collaborate effectively across engineering teams.

Compensation

  • Typical starting salary for this role in the US: $133,450 - $197,200 USD.
  • Typical starting salary for this role in US Premium Markets (Los Angeles, San Francisco Bay Area, Seattle area, New York City Metro Area): $157,000 - $232,000 USD.

These ranges reflect the employer's good-faith estimate of minimum and maximum pay at the time of posting. Placement within the range depends on factors such as education, qualifications, certifications, experience, skills, location, and performance.

Benefits / Perks

  • Flexible work environment — globally distributed and remote-friendly.
  • Employer contributions towards healthcare.
  • Equity in the company (stock options for new hires).
  • Flexible time off in the US and generous entitlement in other countries.
  • $500 home office setup for remote employees.
  • Global gatherings and company-wide offsites.

Culture & Equal Opportunity

As one of the first ~500 employees, you will influence company culture. ClickHouse is an equal opportunity employer and provides privacy and nondiscrimination protections consistent with applicable laws.