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).