Clickhouse

Full Stack Software Engineer - Control Plane

United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Database, Cloud Computing, Software DevelopmentIndustries

Full Stack JavaScript Software Engineer

Position Overview

ClickHouse is seeking exceptional Full Stack JavaScript Software Engineers to join our Control Plane engineering teams. These teams are responsible for building the billing platform for ClickHouse Cloud, the SQL Console, and all ClickHouse UI dashboards. This role offers an ideal opportunity to make a significant impact by working on a variety of technologies, integrating with external systems, and collaborating with stakeholders across the business to enhance customer experience through reliability, scalability, privacy, security, and observability.

About ClickHouse

Established in 2009, ClickHouse is a leader in open-source, column-oriented database systems, aiming to be the fastest OLAP database globally. We enable users to generate real-time analytical reports using SQL queries, focusing on speed and managing escalating data volumes. ClickHouse Cloud is utilized by global enterprises including Lyft, Sony, IBM, GitLab, Twilio, and HubSpot. It is available as open-source or on AWS, GCP, Azure, and Alibaba.

About the Team

Our Control Plane engineering teams focus on critical areas such as the billing platform for ClickHouse Cloud, the SQL Console, and internal/external UI dashboards. We are looking for talented full stack JavaScript engineers who can contribute to both frontend and backend development, integrating with various external systems. You will join at a pivotal time to make a substantial impact, working collaboratively with cross-functional stakeholders to ensure the best customer experience while prioritizing accuracy and compliance.

Responsibilities

  • Build ClickHouse Cloud interfaces, dashboards, and consoles.
  • Design and build mission-critical processes essential for operations.
  • Develop with purpose, providing clear rationale for technical decisions to effectively present solutions to peers and stakeholders.
  • Deliver secure, efficient, mature, and highly available frameworks and platforms that abstract infrastructure complexity.
  • Partner with multi-disciplinary teams to define business strategies, user needs, and optimal solutions.
  • Integrate with a variety of systems including Billing, Metering, Logging, Monitoring, and Support.

Requirements

  • 5+ years of relevant software development industry experience building front-end systems running on the cloud.
  • Full Stack coding experience with React, TypeScript, Serverless, and Node.js. Proficiency in multiple languages is encouraged.
  • Experience leading and shipping large-scope technical projects in collaboration with experienced engineers.
  • Full-cycle development experience, including strong ownership of code quality and experience building and operating high-scale, distributed systems across the full software lifecycle.
  • Expertise with a public cloud provider (AWS, GCP, Azure) and their Infrastructure as a Service offerings.
  • Excellent communication skills and the ability to collaborate effectively within and across engineering teams.
  • Strong problem-solving abilities and solid production debugging skills.
  • Ability to thrive in a fast-paced environment and act as a business partner focused on driving progress.
  • High level of responsibility, ownership, and accountability.

Compensation

Salary Ranges (USD):

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

Note: Compensation is determined by various factors including candidate experience, qualifications, skills, business requirements, and geographical location. For questions regarding compensation, please contact paytransparency@clickhouse.com.

Perks

  • Flexible Work Environment: ClickHouse is a globally distributed and remote-friendly company, operating in 20 countries.
  • Healthcare: Employer contributions towards healthcare.
  • Equity: Receive equity in the company.

Skills

JavaScript
Frontend
Backend
Billing Platform
SQL
UI Dashboards
Cloud Interfaces
Security
Scalability
Observability
Reliability

Clickhouse

High-speed column-oriented database management system

About Clickhouse

ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Benefits

Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend

Risks

Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.

Differentiation

ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.

Upsides

Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.

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