Software Engineer (Coralogix AI)

About The Position

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
  
  

• 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