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Core Java Developer
2 weeks ago
Job Summary:
We are seeking a talented and experienced software engineer to lead the development of high-performance backend applications, services, and APIs using Core Java.
The ideal candidate will have expertise in Java, database architecture, data analytics, and AI/ML integration, as well as experience with Spring Boot, Microservices, and distributed system architectures.
Key Responsibilities:
- Lead the design and development of robust Core Java applications (Standalone, Microservices, and Batch Processing).
- Architect and optimize scalable RESTful APIs for enterprise-grade systems.
- Drive performance tuning, memory management, multi-threading, and concurrency improvements.
- Collaborate with cross-functional teams, including frontend (ReactJS) and DevOps, for end-to-end delivery.
- Design, implement, and optimize SQL/NoSQL databases for large-scale, high-volume datasets.
- Build and lead data analytics pipelines to extract actionable insights from structured and unstructured data.
- Integrate AI/ML models into production systems to enable intelligent automation and predictive capabilities.
- Ensure adherence to coding standards, performance benchmarks, and security best practices.
- Mentor junior engineers and participate in technical reviews, architecture discussions, and roadmap planning.
- Oversee cloud-native deployments and manage environments on AWS/Azure/GCP.
Preferred Skills:
- Expert-level Core Java (collections, streams, concurrency, JVM internals).
- Proven experience with Spring Boot, Microservices, and distributed system architectures.
- Advanced database skills - schema design, indexing, query optimization, and performance tuning.
- Strong knowledge of event-driven architecture (Kafka), caching (Redis), and big data frameworks (Spark).
- Proficiency in AI/ML model lifecycle - development, training, deployment, and inference.
- Familiarity with data visualization and analytics tools (Apache Superset, Power BI, Tableau).
- Understanding of cloud-native architectures (Docker, Kubernetes, serverless) and CI/CD pipelines.
