Software Engineer (Coralogix AI)

Reposted 14 Days Ago
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Ramat Gan, ISR
Hybrid
Mid level
Machine Learning • Software
The Role
The Software Engineer will develop and maintain observability products, solve complex problems in cloud environments, and collaborate on AI integration.
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%.

Coralogix AI is hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems—making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If you’re passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.

Responsibilities:

  • End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
  • Solve diverse and complex problems in a high-scale, cloud-native environment
  • Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
  • Design, develop, and maintain robust, secure, and efficient software solutions
  • Ensure high system reliability by implementing best practices in monitoring, observability, and automation
  • Review code, architecture, and data to identify and troubleshoot technical and performance issues
  • Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning
Requirements

Requirements:

  • Minimum of 4 years of experience in software development within a cloud environment
  • Strong proficiency in designing and developing scalable, distributed systems
  • Experience with Kubernetes (K8s), cloud infrastructure (AWS, GCP, or Azure), and cloud-native development practices
  • Solid understanding of performance optimization, troubleshooting, and functional/non-functional testing
  • Proficiency in Python, Go, or other backend programming languages
  • Experience with CI/CD pipelines, infrastructure as code (Terraform / Pulumi, Helm, ArgoCD) – advantage
  • Hands-on experience with AI/ML development, including monitoring ML models, evaluating performance

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

  • Minimum of 4 years of experience in software development within a cloud environment
  • Strong proficiency in designing and developing scalable, distributed systems
  • Experience with Kubernetes, cloud infrastructure (AWS, GCP, or Azure)
  • Proficiency in Python, Go, or other backend programming languages
  • Hands-on experience with AI/ML development including monitoring ML models
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The Company
HQ: Boston, MA
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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