Backend Engineer (Data Usage)

Coralogix, Inc.
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Distributed Data Store Enterprise Messaging Systems RabbitMQ Software Engineering Backend Usage Tracking Kubernetes Apache Kafka Vertica Microservices

Job description

We’re looking for engineers who love Rust to join our team and develop modern, cloud-native production systems that process terabytes of data daily. In this role, you will design and develop our backend services using Rust, along with other exciting technologies, all deployed in AWS on Kubernetes., 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 Software engineering?, * 5+ years of professional software development experience.

  • 2+ years of experience developing and operating Rust-based systems in production (Must-have).
  • Experience designing and building large-scale, data-intensive microservices
  • Experience working with distributed databases.
  • Experience with messaging systems such as Kafka or RabbitMQ.
  • Experience deploying systems to Kubernetes.
  • Excellent written and verbal communication skills.
  • Experience using ClickHouse in production (nice to have).

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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Good distractions

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