We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
As an engineer working on one of our storage teams, you will be building high-scale distributed databases serving time series and event data throughout the product. You will be working with various distributed sharding strategies towards optimizing scalability and availability, and making low-level improvements which have an outsized impact on Datadog’s overall query performance and scalability.
- Build distributed, high-throughput, time series databases
- Do it in Rust, Go and using primitives such as Glommio and io-uring
- Own meaningful parts of our service, have an impact, grow with the company
- You have a BS/MS/PhD in a scientific field or equivalent experience
- You have significant backend programming experience in one or more languages
- You can get down to the low-level when needed
- You care about code simplicity and performance
- You want to work in a fast, high-growth startup environment that respects its engineers and customers
- You have significant experience with async Rust or C++
- You have deep knowledge of the Linux kernel and/or its various subsystems
- You’ve had occasion recently to inspect assembly code or executable internals
- You’ve worked on distributed databases, or maybe built your own
#LI-Remote This is a remote position
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.