About The Position

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

Coralogix is rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing.

By enabling users to define different data pipelines per use case, we provide deep Observability and Security insights, at an infinite scale, for less than half the cost.

Requirements

Minimum - 3 years of experience
Collect and analyze data related to our current prompt performance/accuracy
Enhance our natural language transation to Dataprime language using collected data
Hands-on prompt engineer
Orientation to programming languges
Knowledge of language structure and construct
Knowledge of type systems
Knowledge of parse trees and ASTs
Knowledge in Semantics
Worked with closed AI envs and services like OpenAI
Ability to work independently and as part of a team

Environment

Microservices
OpenAI integration
Proprietary DSL (Dataprime)

Tech Stack

Ops: AWS, Kubernetes, ArgoCD

Backend

Rust, Tokio
PostgreSQL

Cultural Fit

We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you.

Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.

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