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%.
We are looking for a Backend Engineer to join a growing team!
Our Stack:
- Node.js
- Scala
- Kafka Streams / Akka Streams
- Spark
- Kafka
- ElasticSearch, Redis
- Kubernetes
- AWS
- SQL
What You'll Do:
- End-to-end development and ownership of our products and features, from design to scalable and predictable production behavior.
- Solve diverse complex problems of high scale
- Collaborate with other engineers and product managers in order to improve our products
- Review code, architecture, and data to identify and troubleshoot problems
Requirements
- 4+ years of development experience in NodeJS and Typescript
- Experience with Kubernetes and Docker containers
- B.Sc. in computer science or an equivalent
Advantage:
- Production experience in a SaaS environment - Metrics, Logging, Troubleshooting production systems
- Hands-on experience with Apache Kafka, Redis
- Hands-on experience with Scala or Java experience
- Experience with at least one major cloud provider - AWS, Azure, or GCP
- 2+ years of experience with Angular2+ AND NGRX/Store
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.
Top Skills
What We Do
We’re 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 insights for less than half the cost.
In short, we are streaming the future of data.
