Systems Engineer - Data Analytics Team

Reposted 5 Days Ago
Austin, TX
Hybrid
Mid level
Cloud • Information Technology • Security • Software • Cybersecurity
Helping Build a Better Internet
The Role
Seeking a Systems Engineer to enhance our platform tooling for data application tools, collaborating closely with Data Engineers on data pipelines.
Summary Generated by Built In
Location - Austin, TX Must be willing to relocate if not in area.
About the team
The Data Analytics & Intelligence 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.
About the role
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.
What you'll do
  • 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

Examples of desirable skills, knowledge and experience
  • 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

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

Top Skills

Ci/Cd
Clickhouse
Docker
Gitlab Ci
Go
Google Cloud Platform
Java
JavaScript
Kubernetes
MySQL
Postgres
Python
React
SQL
Typescript
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The Company
HQ: San Francisco, CA
4,400 Employees
Year Founded: 2010

What We Do

Cloudflare, Inc. (NYSE: NET) is the leading connectivity cloud company on a mission to help build a better Internet. It empowers organizations to make their employees, applications and networks faster and more secure everywhere, while reducing complexity and cost. Cloudflare’s connectivity cloud delivers the most full-featured, unified platform of cloud-native products and developer tools, so any organization can gain the control they need to work, develop, and accelerate their business.

Powered by one of the world’s largest and most interconnected networks, Cloudflare blocks billions of threats online for its customers every day. It is trusted by millions of organizations – from the largest brands to entrepreneurs and small businesses to nonprofits, humanitarian groups, and governments across the globe.

Why Work With Us

Cloudflare employees come from all walks of life. We are mission-driven, and our team is energized by a collaborative, creative environment that celebrates our differences and fosters new ways to grow together.

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Cloudflare Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are committed to developing a global team that is distributed with a flexible working approach. Doing this equitably and inclusively is essential to our success. Visit our careers site for more on 'How & Where We Work.'

Typical time on-site: Flexible
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