We are looking Software Engineers with 5+ years of experience and a passion for building scalable, cloud-native software solutions. In this role, you will own, design, develop, and enhance cutting-edge applications in the observability domain, leveraging modern technologies, automation frameworks, and cloud-native platforms. You will collaborate closely with cross-functional teams to deliver innovative, reliable, and high-performance solutions while driving engineering excellence in a dynamic and agile environment. • Design, develop, and enhance scalable cloud-native software solutions and observability platform capabilities using modern architectures, technologies, and engineering best practices. • Own end-to-end feature delivery, from requirements analysis and technical design to implementation, testing, deployment, and operational support. • Diagnose, troubleshoot, and resolve complex software defects and performance issues, conduct root cause analysis (RCA) of incidents, and drive improvements in application reliability, scalability, and maintainability. • Build and optimize CI/CD pipelines, automation frameworks, containerized deployments, and Kubernetes-based solutions to improve engineering efficiency and product quality. • Leverage AI-assisted development tools and engineering productivity solutions to accelerate software delivery, improve code quality, and enhance developer effectiveness. • Collaborate with architects, area product owners, and cross-functional engineering teams to deliver innovative solutions while driving technical excellence in Agile/Scrum environments. You have: • Engineering Degree with 5+ years of experience in designing, developing, and delivering cloud-native, distributed software systems using Golang and microservices-based architectures. • Hands-on experience building cloud-native microservices and distributed systems using Kubernetes and containerization technologies. • Proficiency in designing and developing scalable backend services, REST/gRPC APIs, and event-driven architectures using Kafka or similar messaging platforms. • Experience with observability and monitoring technologies, including telemetry collection, metrics, logging, tracing, and troubleshooting large-scale systems, will certainly be an advantage. • Good understanding of CI/CD, DevOps, and automation practices using tools such as Jenkins, GitOps, Helm, and container-based deployment pipelines. Nice to have: • Experience working in Agile/Scrum environments with strong collaboration, technical ownership, and problem-solving skills; exposure to AI-assisted development tools is a plus. • Full Stack development experience using ReatJS will be an advantage.