About the role

Our product is an industrial-scale software-as-a-service observability platform, and you will be designing and implementing the core of our open source distributed time series database, responsible for handling millions of writes per second. You will work on hard distributed systems and data storage problems, building a highly available storage engine where you need to optimize for every byte in memory, every disk I/O, and every network packet. The time series database is the backbone of our product, and your work will determine its scalability and reliability.

You will

• Design, implement, and test enhancements to our core time series database built on M3, using Go on Kubernetes/GCP/AWS
• Contribute to ongoing development of open-source M3, and help shape the direction of the M3 open source project
• Build operational tooling for the code you write, and work with our cloud infrastructure team to manage your code in production
• Collaborate with product and platform engineering to design features that leverage capabilities of the time series database

What you will achieve

In the first month, you will build a deep understanding of Chronosphere’s platform and begin contributing to the product. You will have time to learn about the space, our customer’s needs, and the underlying technology.

Within 90 days, you will have shipped several enhancements to the time series database and contributed to designs shaping the overall direction of the system. You will be a core contributor to internal enhancements and M3 open source, and will become a go-to person in one or more areas of the system.

You have

• Deep background in distributed systems or storage layer programming. You will be working on low level problems such as query engine optimization, on-disk data indexing, or data replication, and need to come to the role with a background in similar types of problems
• Strong skills in a system level language such as Go, C++, Java, C#, or Rust. Knowing a specific language isn’t important; what matters is that you’ve become fluent in one by spending a lot of time in the types of projects where these languages are used
• Experience operating highly available systems in production. We don’t just ship software - we also run a service on behalf of our customers. You’ll need to know how to do this effectively: where to place instrumentation to get the best understanding of your code’s behavior in production, how to debug distributed systems under load, and how to reproduce issues that might seem to only manifest in production workloads
• A flexible, collaborative working style. We’re a small team working in a rapidly evolving space, and we’re looking for people that will help build a positive, supportive environment

Location

United States - Remote 

#LI-Remote

The team

Reporting to Ignas Butenas, Engineering Manager