<p><p><b>Job Title : </b>Senior Software Engineer Java Developer.</p><br/><p><b>Experience : </b>6+ Years.</p><br/><p><b>Location : </b>Bangalore.</p><br/><p><b>Job Description :</b></p><p><br/></p><p>Experienced Senior Core Java Developer to design, develop and optimize high-performance backend applications, services and APIs. The ideal candidate will have expertise in Java, database architecture, data analytics and AI/ML integration.
This role involves driving architectural decisions, mentoring team members and delivering scalable, data-driven solutions leveraging technologies like Kafka, Spark, Redis, ReactJS, PostgreSQL, MongoDB and Cloud Services (AWS/Azure/GCP).</p><br/><p><b>Key Responsibilities :</b></p><p><br/></p><p>- Lead the design and development of robust Core Java applications (Standalone, Microservices and Batch Processing.<br/><br/></p><p>- Architect and optimize scalable RESTful APIs for enterprise grade systems.<br/><br/></p><p>- Drive performance tuning, memory management, multi-threading and concurrency improvements.<br/><br/></p><p>- Collaborate with cross-functional teams, including frontend (ReactJS) and DevOps, for end-to-end delivery.<br/><br/></p><p>- Design, implement and optimize SQL/NoSQL databases for large-scale, high-volume datasets.<br/><br/></p><p>- Build and lead data analytics pipelines to extract actionable insights from structured and </p><p>unstructured data.<br/><br/></p><p>- Integrate AI/ML models into production systems to enable intelligent automation and </p><p>predictive capabilities.<br/><br/></p><p>- Ensure adherence to coding standards, performance benchmarks and security best practices.<br/><br/></p><p>- Mentor junior engineers and participate in technical reviews, architecture discussions and </p><p>roadmap planning.<br/><br/></p><p>- Oversee cloud-native deployments and manage environments on Skills : </b></p><p><br/></p><p>- Expert-level Core Java (collections, streams, concurrency, JVM internals).</p><p><br/></p>- Proven experience with Spring Boot, Microservices and distributed system architectures.<br/><br/></p><p>- Advanced database skills schema design, indexing, query optimization and performance </p><p>tuning.<br/><br/></p><p>- Strong knowledge of event-driven architecture (Kafka), caching (Redis) and big data </p><p>frameworks (Spark).<br/><br/></p><p>- Proficiency in AI/ML model lifecycle development, training, deployment and inference.<br/><br/></p><p>- Familiarity with data visualization and analytics tools (Apache Superset, Power BI, Tableau).<br/><br/></p><p>- Understanding of cloud-native architectures (Docker, Kubernetes, serverless) and CI/CD </p><p>pipelines.</p><br/></p> (ref:hirist.tech)