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 hiring a eBPF Software Engineer to be part of the next-generation stream-based observability platform, providing real-time data analytics for major tech companies.
As an eBPF Software Engineer, you will:
- Working on multiple eBPF agents, contributing to Opensource projects
- Developing eBPF agent to allow network observability over a range of different technologies and protocols
- Developing continues profiling capabilities using eBPF
Requirements
- Proficient in a systems language like: Golang, Rust, C, C++
- Work experience with eBPF, and common eBPF frameworks (BCC, libbpf, aya)
- Experience with development on Linux platform
Advantages
- Knowledge of Kubernetes and Docker
- Experience with developing agents deployed on customer environments
- Understanding of observability, distributed tracing and network monitoring
- Work experience with data technologies (SQL / NoSQL databases, message brokers) and common network protocols (HTTP, GRPC, GraphQL)
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.
