
Full Stack Core Java Engineer
2 days ago
Job Title:
Senior Core Java Developer
Location:
Bangalore
About the Role:
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).
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.
- Mentor junior engineers and participate in technical reviews, architecture discussions and roadmap planning.
- Oversee cloud-native deployments and manage environments on AWS/Azure/GCP.
Required 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.
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