Software Engineer - Data Reliability Datadog
New York, NY

Job Description

The company:

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-providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

The team:

How do you provide data to a real-time service that monitors hundreds of thousands of servers 24 hours a day?

How do you ensure data correctness in the face of infrastructure failures and network partitions, in a high-volume, low-latency environment?

What should the infrastructure look like when data may double in size or in throughput on short notice? If you think you have the answers, join us as a Data Reliability Engineer (DRE) and help us ensure that we're providing reliable data, at scale, and quickly.

You will:

* Keep our datastores reliable, available and fast.
* Respond to, investigate and fix issues, whether it's deep in the Database code or in the client application.
* Build tooling to minimize customer-facing downtime, and scale up resources on short notice
* Protect and ensure the consistency of customer data.
* Work with developers to design data models, and choose the correct datastores, to support orders of magnitude more customer data and traffic.

Requirements:

* You have a BS/MS/PhD in a scientific field or equivalent experience
* You have a track record as an engineer in the operations of a large site
* You value correctness and efficiency; you leave no stone unturned when diagnosing production issues
* You handle infrastructure with code because automation lets you focus on the more difficult and rewarding problems
* You have production experience with distributed datastores, e.g. zookeeper, cassandra, postgres, kafka, elasticsearch, redis

Bonus Points

* You have created tooling for, or submitted contributions to, an open-source data store
* You are fully fluent in python, ruby or go