Software Engineer - Query Language

New Relic•Portland, OR

1d•Remote

About The Position

The Data, Identity, & API Platform group at New Relic builds the foundation for all of our products: data ingest, storage, and query. As an engineer working on NRDB, you’ll be contributing directly to the proprietary telemetry database technology at the core of our business. We own our software from top to bottom and are directly responsible for its quality and reliability. Each member of the team shares our pager rotation and will occasionally be on-call to respond to system failures; so we prioritize work that keeps the lights on and the pager quiet, in addition to the work that powers all of our new products and streams of data. If the idea of working on systems that process millions of messages per second and handle petabytes of data excites you, then you may be an excellent fit!

Requirements

3+ years of experience in collaborative software development.
Firm grasp of Computer Science fundamentals, including data structures, algorithms, and modern software design and development methodologies.
Self-starter with a strong sense of ownership over your code and commitments.
Ability to go deep on the command-line and fix things when they’re broken.
Experience working in Java, or equivalent experience in an alternate OOP language (C++, C#, etc).

Nice To Haves

Experience developing and operating within a 24x7 SaaS business.
Experience or interest in database implementation, distributed systems, and/or query language grammar, compilation, and execution.
Experience with observability tools and platforms (such as ours).
Experience working in the public cloud (AWS, Azure, and/or GCP).
Experience with container technologies such as Kubernetes and Docker.
Experience working asynchronously in distributed teams.

Responsibilities

Own the New Relic query language stack including grammar parsing, compilation, and processing.
Proactively participate in cross-functional committees to move the query language forward, ranging from collaborations with AI, Visualizations, and Data Processing teams.
Build and maintain scalable distributed Java services and Petabyte-scale Infrastructure.
Investigate and resolve critical performance, availability, and resiliency issues and risks in a multi-region, multi-cloud, multi-tenant distributed database.
Working in an agile environment with a DevOps approach — the team builds and maintains their own software, including taking turns with being on-call.