Careers

Requisition DescriptionWe 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.Roles and Responsibilities Key Responsibilities:1. Design & Development: Build robust, scalable, and maintainable Java applications using Spring Boot or Microservices architecture.2. Data Orchestration: Develop and optimize Kafka producers/consumers, ensuring efficient data serialization and compression (Snappy/LZ4).3. Big Data Integration: Manage data lifecycle operations within HDFS and perform high-speed indexing and querying in Solr.4. Performance Tuning: Diagnose and resolve bottlenecks in JVM memory management, Garbage Collection, and JNI-based native library interactions.5. Cloud Native Deployment: Containerize applications using Docker and manage deployments in Kubernetes (K8s) across Oracle Linux environments.6. Troubleshooting: Solve complex issues related to distributed locking, file system consistency, and network latency at scale.Technical Requirements:1. Core Java: Strong expertise in Java 8+ (Collections, Multithreading, Concurrency, and Stream API).2. Messaging: Deep understanding of Apache Kafka (partitioning strategies, consumer groups, and offset management).3. Storage/Search: Hands-on experience with HDFS and Solr (sharding, collection management, and query optimization).4. DevOps: Proficiency with Docker and Kubernetes (writing Dockerfiles, managing volumes, and understanding K8s security contexts).5. Linux: Solid command-line skills (Oracle Linux/RHEL preferred) and experience troubleshooting native library dependencies (glibc vs musl).