Java Developer

About ClearTrail – At ClearTrail, work is more than ‘just a job’. Our calling is to develop solutions that empower those dedicated to keeping their people, places and communities safe. For over 24 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning-based lawful interception & communication analytics solutions that solve the world’s most challenging problems. Role – Java Developer Location – Indore, MP Years of Experience Required – 2-3 Year Job Description: We are looking for a high-performing Java Engineer to join our team managing large-scale data pipelines processing billions of records. You will be responsible for building and optimizing high-throughput services that interface with Kafka, Solr, and HDFS within a Kubernetes environment. The ideal candidate has a "under the hood" understanding of how Java interacts with Linux and distributed storage. Role: Key Responsibilities: Design & Development: Build robust, scalable, and maintainable Java applications using Spring Boot or Microservices architecture. Data Orchestration: Develop and optimize Kafka producers/consumers, ensuring efficient data serialization and compression (Snappy/LZ4). Big Data Integration: Manage data lifecycle operations within HDFS and perform high-speed indexing and querying in Solr. Performance Tuning: Diagnose and resolve bottlenecks in JVM memory management, Garbage Collection, and JNI-based native library interactions. Cloud Native Deployment: Containerize applications using Docker and manage deployments in Kubernetes (K8s) across Oracle Linux environments. Troubleshooting: Solve complex issues related to distributed locking, file system consistency, and network latency at scale. Technical Requirements: Core Java: Strong expertise in Java 8+ (Collections, Multithreading, Concurrency, and Stream API). Messaging: Deep understanding of Apache Kafka (partitioning strategies, consumer groups, and offset management). Storage/Search: Hands-on experience with HDFS and Solr (sharding, collection management, and query optimization). DevOps: Proficiency with Docker and Kubernetes (writing Dockerfiles, managing volumes, and understanding K8s security contexts). Linux: Solid command-line skills (Oracle Linux/RHEL preferred) and experience troubleshooting native library dependencies (glibc vs musl).