Engineering Manager: Infrastructure Data & ML Platforms

Overview

Join to apply for the Engineering Manager:
Infrastructure Data & ML Platforms role at Cloudflare
.

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time e join us!

Location: Washington, DC, NYC, San Francisco or Austin US

We are looking for an Engineering Manager to join Cloudflare who will be responsible for the data, tools, forecasts, and platforms that support Capacity Planning and other functions. You will lead a team of passionate and talented full stack and data engineers that develop the forecasts and visualizations that ensure we support demand growth while continually improving our operating margins. Working in partnership with Planners and Data Analysts from our Capacity Planning team, your team will build, operationalize, and scale the tools, data pipelines, forecast models and visualizations needed to optimize our infrastructure spend.

You will also lead the engineers responsible for our Maintenance Optimizer application: a Maintenance Coordination System based on a Graph detailing every interface on every device, and all of their connections, for the entire Cloudflare network. You bring a passion for meeting business needs by building technical, innovative solutions. You excel to understand how big-picture goals inform technical details. You thrive in a fast-paced iterative engineering environment.

You have experience scaling machine learning models (
forecasting at scale
). You build great relationships with your internal customers and deeply understand their needs. Most importantly, you have a track record of having past teams respect you as both a technical leader and manager.

• At least 3 years of management experience
• At least 8 years of hands on software development experience on meaningfully complex systems
• Comfortable leading and hiring a team that builds the backend bits and frontend widgets
• Technical expert who can guide and develop the team in their architectural and coding skills
• Ability to do deep code reviews that allow for ongoing employee development and technical excellence in the products you ship
• Excel at planning, creating teams and overseeing execution to meet commitments and deliver with predictability
• Demonstrate a track record of leading a team including hiring, on-boarding, and professional development. You inspire your team to reach higher. You’re as good as explaining “why” as you are “how”
• Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages
• Comfortable managing teams/projections with tight deadlines and short release cycles
• Strong verbal and written English language skills
• Experience with operationalizing and scaling ML Forecasting models
• Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus

Compensation may be adjusted depending on work location.

• For Bay Area based hires:
  Estimated annual salary of $225,000 - $275,000
• For New York City, Washington, Washington D.C. and California…