
Senior Software Engineer – Java Developer
7 days ago
Job Title - Senior Software Engineer – Java Developer
Experience - 6+ Years
Location - Bangalore
Job Description
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.
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.
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