Software Engineer

We are seeking a Software Engineer with strong expertise in Java, Spring Boot, and event-driven architectures to build and support scalable, cloud-native applications. This role will focus on developing microservices, real-time data streaming solutions, and modern web applications while leveraging technologies such as Kafka, Kubernetes, Docker, React/Angular, and cloud-native platforms. The ideal candidate has experience designing distributed systems, building high-performance backend services, and collaborating across engineering, platform, and DevOps teams to deliver resilient, production-ready solutions., * Design, develop, and maintain scalable backend services and microservices using Java, Spring Boot, and RESTful APIs.

• Build and enhance cloud-native distributed applications with a focus on scalability, resiliency, and maintainability.
• Develop event-driven solutions using Apache Kafka and Kafka Streams.
• Optimize application performance, security, and reliability.

Full Stack Development

• Design and develop responsive user interfaces using Angular, React, TypeScript, JavaScript, HTML5, and CSS.
• Integrate frontend applications with backend APIs and event-driven services.
• Deliver seamless end-to-end user experiences across web platforms.

Data Streaming & Platform Engineering

• Build and maintain real-time data pipelines using Apache Kafka, Kafka Streams, and Apache NiFi.
• Develop alert orchestration and operational intelligence solutions.
• Implement audit logging, monitoring, and observability frameworks.
• Support large-scale event-processing platforms and real-time analytics.

Cloud-Native & Container Platforms

• Deploy and manage applications on Kubernetes-based environments.
• Develop and maintain containerized solutions using Docker and Helm.
• Support serverless architectures using Knative and cloud-native technologies.
• Collaborate with DevOps teams to automate deployments through GitOps, Jenkins, and ArgoCD.

Advanced Platforms & Innovation

• Contribute to AI-enabled backend solutions and intelligent analytics platforms.
• Support knowledge graph and semantic data initiatives using TTL, RDF, and R2RML technologies.
• Integrate machine learning workflows using Kubeflow and MLflow.
• Build backend services supporting IoT and real-time event streaming ecosystems.

Engineering Excellence

• Develop production-quality code with strong testing and documentation standards.
• Participate in architecture reviews and technical design discussions.
• Collaborate with platform, infrastructure, SRE, and data engineering teams.
• Mentor junior developers and support engineering best practices.

• 4-6+ years of software engineering experience.
• Strong proficiency in Java and Spring Boot.
• Hands-on experience building microservices-based applications.
• Experience with Apache Kafka, Kafka Streams, and event-driven architectures.

• Strong understanding of distributed systems concepts and design patterns.

• Experience with SQL and NoSQL databases: *

• PostgreSQL
• Cassandra
• MongoDB
• Redis
• Elasticr
• Hands-on experience with Docker and Kubernetes.
• Experience implementing CI/CD pipelines using Jenkins, GitOps, and ArgoCD.
• Strong troubleshooting, analytical, and problem-solving skills.