CloudflareSenior Systems Engineer, Pipelines
Available Locations: Austin, TX | London, UK
About the Department
Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.
What you'll do
As a Senior Engineer focused on Cloudflare's storage and database products, you will shape the future of industry-leading services that redefine what is possible for developers. We don't just copy what other cloud providers do; we work backward from developer needs, reimagining solutions by leveraging our unique global network. This network brings data closer to users for unparalleled performance, allows for granular control to meet data residency requirements, and provides a platform for truly innovative data products.
You will own your code from inception to release, delivering solutions at all layers of the software stack to empower Cloudflare customers. On any given day, you might be architecting a new globally distributed data consistency model, optimizing storage engine performance, or designing a novel API for a new data-centric product. You can expect to interact with a variety of languages and technologies including, but not limited to JavaScript, Typescript, Rust, and C++.
Examples of desirable skills, knowledge and experience
- Minimum 6 years of experience working with distributed systems.
- Experience building and managing high volume software applications.
- Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
- Knowledge of at least one modern strongly-typed programming language: we primarily use Rust, TypeScript, and Go.
- Experience debugging, optimizing and identifying failure modes in a large-scale distributed system.
Bonus Points
- Experience building and managing a large scale data storage platform.
- Experience working in low-latency real time environments such as game streaming, game engine architecture, high frequency trading, payment systems
- Experience working in a non-garbage collected language such as Rust or C++.
- Experience writing Javascript and Typescript.Deep Linux / UNIX systems knowledge.