Backend Team Lead

Reposted Yesterday
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Ramat Gan
In-Office
Senior level
Machine Learning • Software
The Role
Manage and mentor a team of backend engineers, ensuring execution, quality, and innovation in the development of distributed, real-time alerting infrastructure.
Summary Generated by Built In
Description

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 Team Lead to manage and grow a team of backend engineers in our Alerting group. The 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 and mentor a team of backend engineers working on mission-critical alerting infrastructure.
  • Be accountable for the team’s execution, code quality, and technical innovation.
  • Guide the team’s technical direction, architecture, and system design for distributed stream processing.
  • Collaborate closely with Product Managers and Engineering stakeholders to define scope, align priorities, and ensure timely delivery.
  • Manage engineering trade-offs, risks, and technical debt to maintain product and team velocity.
  • Drive clear prioritization of work across technical improvements, feature development, and production maintenance.
  • Support career development through regular feedback, goal setting, and performance reviews.
  • Foster a culture of ownership, excellence, and continuous learning.

Requirements
  • 3+ years of experience as a team leader or engineering manager.
  • 7+ years of backend development experience.
  • 2+ years working with JVM based languages (Java, Scala, Kotline, etc.)
  • Experience in developing and operating distributed systems in production.
  • Proven experience designing highly reliable, scalable systems.
  • Hands-on experience with streaming/data processing technologies (Kafka, Kafka-Streams, Flink, Akka Streams).
  • Experience managing risks, timelines, and delivery expectations across multiple priorities.
  • Excellent communication skills and a strong sense of ownership and accountability.
  • Experience with monitoring and observability tools and practices.
  • B.Sc. in Computer Science or equivalent field.

Advantage

  • Experience writing production code in Scala.
  • Familiarity with gRPC and Protobuf.
  • Experience tuning RocksDB or similar stateful stream-processing storage engines.
  • Prior experience working in a SaaS environment with observability stacks (metrics, logging, etc.).

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

Akka Streams
AWS
Elasticsearch
Kafka
Kafka Streams
Kubernetes
Redis
Scala
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The Company
HQ: San Francisco, CA
198 Employees
Year Founded: 2014

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.

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