Architect - Java Backend

Senior / Lead Software Engineer - Java, Distributed Systems & Big Data 9-12yrs Bangalore About the Role We are seeking a highly skilled Senior/Lead Software Engineer with strong expertise in Java, Spring Boot, Microservices, Distributed Systems, and Big Data technologies. In this role, you will design, develop, and optimize scalable, resilient, and high-performance applications that process large volumes of data and support mission-critical business functions. The ideal candidate combines deep backend engineering expertise with hands-on experience in distributed computing, performance optimization, cloud-native architectures, and modern data platforms. Key Responsibilities Design, develop, test, deploy, document, and maintain scalable full-stack and backend applications. Architect and enhance microservices-based solutions with a focus on scalability, reliability, and maintainability. Build and optimize distributed systems capable of handling high-throughput, low-latency workloads. Design and implement event-driven architectures using Apache Kafka and streaming technologies. Implement caching strategies using Redis and similar technologies to improve application performance. Analyze and optimize application performance, memory utilization, JVM behavior, and system throughput. Solve complex multithreading and concurrency challenges in large-scale distributed environments. Develop large-scale data processing pipelines and analytics solutions using Big Data technologies. Build and optimize Retrieval-Augmented Generation (RAG) solutions to power AI-driven chatbot experiences. Collaborate closely with product managers, architects, and cross-functional teams to deliver business outcomes. Participate in architecture reviews, technical design discussions, and code reviews. Troubleshoot production issues and drive long-term reliability and operational improvements. Champion engineering best practices, automation, testing, observability, and operational excellence. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional software development experience. Strong proficiency in Java and object-oriented design principles. Hands-on experience with Java, Spring Boot, Spring Data, SQL, and Apache Kafka. Experience designing, developing, and deploying microservices-based applications. Strong understanding of distributed systems concepts, including: Scalability Consistency models Fault tolerance High availability Distributed transactions Experience with Redis or similar distributed caching technologies. Strong expertise in Apache Kafka and event-driven architectures. Deep understanding of multithreading, concurrency, and JVM internals. Experience with performance tuning, profiling, and application optimization. Strong knowledge of RESTful APIs and service integration patterns. Experience with relational and NoSQL databases. Proficiency with Git, CI/CD pipelines, and modern software engineering practices. Experience with Kubernetes, Docker, and container orchestration platforms. Strong problem-solving, communication, and collaboration skills. Ability to thrive in an Agile development environment. Good to Have Qualifications Experience with Big Data technologies such as Scala, Apache Spark, Google BigQuery, Google Dataproc, DBT, and AtScale. Exposure to observability platforms and monitoring tools such as Prometheus and Grafana.