Systems Engineer (Data Intelligence & Analytics Team)

Connect, protect, and build everywhere•San Francisco, CA

1d•Onsite

About The Position

The Data Intelligence & Analytics team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives. We are looking for a Systems Engineer to join our Austin team to scale our development efforts on Platform Tooling initiatives. You will work on building data application tools and frameworks which empowers our Internal Teams. You will work closely with the Data Engineers on the team to add new features and maintain our data pipelines written in Go. You can expect to interact with various languages and technologies including, but not limited to Go, React, and Clickhouse.

Requirements

B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
Experience working with Go, Python, Java, or equivalent programming languages
Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL
Experience with CI/CD, Gitlab CI
Excellent communication & problem solving skills
Ability to collaborate with cross functional teams and work through ambiguous business requirements

Nice To Haves

Familiarity with container based deployments such as Docker & Kubernetes
Familiarity with Google Cloud Platform or something similar
Familiarity with Javascript, Typescript, and React

Responsibilities

Design and implement key features of our internal applications
Work closely with a cross functional team to design features and solutions that solve critical business problems
Contribute in improving an evolving platform architecture for scalability, observability and reliability
Continuously involved in knowledge sharing and mentorship