Senior Full Stack Engineer (Notification)
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Job description
We’re looking for full-stack engineers who are passionate about technology and data to join our team in building modern, cloud-native production systems that process terabytes of data daily. In this role, you’ll contribute to the development of a new product at Coralogix, working with Rust on the backend and Angular on the frontend, and other cutting-edge technologies-all deployed in multiple clouds on Kubernetes. Our tech stack includes Rust,TypeScript, Kafka,SQL and more., 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.
Requirements
Do you have experience in gRPC?, * 5+ years of software development experience.
- 3+ years of experience developing and operating distributed systems in production
- 2+ years of experience writing backend code in Rust.
- Proficiency with modern Javascript frontend frameworks (Angular, React etc.)
- Experience with cloud environments, AWS, GCP, Azure, etc.
- Experience with Kubernetes and Docker containers
- Ability to multitask, organize, and prioritize work
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Proficient with AI tools
Advantages:
- Commercial experience developing and operating production systems in Rust.
- Experience with Angular.
- Familiarity with gRPC and Protobuf.
About the company
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%.
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