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:
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 / Rust / Java / .net / Typescript / node.js
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
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 / Rust / Java / .net / Typescript / node.js
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
This position is open to all candidates.
