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 group! Our Alerting backend powers real-time, streaming-based detection at massive scale, processing millions of events per second with millisecond latency to catch issues as they happen. Built with a distributed, event-driven architecture, it supports complex pattern evaluation, dynamic enrichment, and fault-tolerant delivery for mission-critical observability
Our Stack
- Scala(ZIO)
- Kafka Streams / Akka Streams
- Kafka
- ElasticSearch, Redis
- Kubernetes
- AWS
What You'll Do
- Lead the design, development, and evolution of scalable, high-impact systems.
- Own features end-to-end, ensuring predictable production behavior from design through deployment.
- Solve complex technical challenges at scale using sound engineering principles and modern stream processing technologies.
- Collaborate closely with engineers and product managers to continuously improve the product.
- Drive both technical excellence and meaningful user outcomes.
- 5+ years of software development experience.
- 3+ years of development experience with JVM stack - Java / Kotlin / Scala - Advantage.
- 3+ years of experience developing and operating distributed systems in production.
- Hands-on experience with observability platforms (Coralogix, Grafana, etc.)
- Proven experience in building systems that are highly available and reliable through strong architectural practices, monitoring, and proactive incident management.
- Hands-on experience with Data Streaming technologies, including Apache Kafka, Spark Streaming, KafkaStreams, or Apache Flink.
- Proficiency in data modeling and designing systems to handle large-scale, distributed datasets efficiently.
- Strong knowledge of distributed computing paradigms and principles, such as consistency, partitioning, and resilience.
- B.Sc. in Computer Science or an equivalent field.
Advantage
- Familiarity with gRPC and Protobuf.
- Hands-on experience with RocksDB optimizations and tuning
- Production experience in a SaaS environment - Metrics, Logging, Troubleshooting production systems
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.
Skills Required
- 5+ years of software development experience
- 3+ years of development experience with a JVM stack, including Java, Kotlin, or Scala
- 3+ years of experience developing and operating distributed systems in production
- Hands-on experience with observability platforms such as Coralogix or Grafana
- Experience building highly available and reliable systems using architectural practices, monitoring, and proactive incident management
- Hands-on experience with data streaming technologies such as Apache Kafka, Spark Streaming, Kafka Streams, or Apache Flink
- Proficiency in data modeling and designing systems for large-scale, distributed datasets
- Strong knowledge of distributed computing principles, including consistency, partitioning, and resilience
- B.Sc. in Computer Science or an equivalent field
- Familiarity with gRPC and Protobuf
- Hands-on experience with RocksDB optimization and tuning
- Production experience in a SaaS environment, including metrics, logging, and production troubleshooting
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.
