Chief Technology Officer

5 days ago

Tiruchi, Tamil Nadu, India beBeeSoftware Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title - Senior Software Developer

Experience Level - 6+ Years

Location - Bangalore

Job Description

A leading software development organization seeks an experienced and skilled Core Java developer to drive the design, development, and optimization of 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

Required Skills and Qualifications

• 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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