Eager to open up abstraction levels lower than what a typical backend engineer is comfortable with.

Up-to-date on technical trends, explore new technologies but are careful in evaluating their merits and tradeoffs based on sound principles rather than hearsay.

Good tooling and automation systems play a crucial role in an engineering-heavy organization, identify drawbacks of existing, off-the-shelf tools, and build custom solutions to rectify their deficiencies.

Thinking and communicating both qualitatively and quantitatively, make data-driven decisions and clearly articulate them, well-documented solutions over clever but opaque systems.

5+ years of hands-on experience with cloud-based infrastructures (AWS, GCP, or Azure) 

Ability to evaluate tradeoffs involved with various cloud services.

Comfortability writing Bash/Python for ad-hoc automation tasks. Familiarity with infrastructure-as-code practices and tools.

Fluency with common Unix's administrative tools and administration tasks.

Good grasp of common network protocols: TCP/IP, TLS, HTTP, SSH... Basic understanding of Linux’s internals. 

A clear understanding of different types of storage systems, and their respective trade-offs.

Hands-on experience with Docker and Kubernetes is a strong plus.

Good at English.