Java Backend Engineer

Job Title: Java Backend Engineer

Location: Bangalore

Experience: 38 Years

Budget: Upto 60 LPA

Industry: AI Product

Overview:

We are a fast-growing technology-driven company building scalable enterprise solutions and advanced backend systems. The role offers an opportunity to work on cutting-edge Java applications, microservices, and integrations with AI/LLM platforms. You will be responsible for designing high-performance architectures, mentoring teams, and driving innovation in backend development.

Key Responsibilities:

Design and develop the architecture of Java applications using Spring Boot, Hibernate, microservices, and event-driven patterns.

Write clean, maintainable, and testable code while participating in code reviews and mentoring junior developers.

Design, implement, and optimize database schemas (MySQL, PostgreSQL, MongoDB, Cassandra).

Identify and resolve performance bottlenecks, ensuring efficient resource utilization.

Deploy and manage applications on cloud platforms (AWS, Azure, GCP) with Docker and Kubernetes.

Build and maintain scalable backend systems in Java, integrating AI/LLM services (OpenAI, Google Gemini, Azure OpenAI).

Collaborate with product managers, designers, and stakeholders to deliver high-quality software solutions.

Define system architecture, integrate data storage solutions, and explore emerging technologies.

Conduct software analysis, testing, and debugging for complex backend and database issues.

Implement caching strategies using Redis, Memcached, or Ehcache to enhance performance.

Required Skills & Qualifications:

Strong expertise in Java (core concepts, multithreading, JVM internals, design patterns).

Proven experience in designing and implementing microservices with Spring Boot.

Hands-on experience with messaging systems (Kafka, RabbitMQ) for event-driven architectures.

Proficiency in SQL optimization, schema design, and working with relational/NoSQL databases.

Experience in building RESTful and GraphQL APIs.

Familiarity with monitoring tools (Prometheus, Grafana).

Exposure to Netflix OSS components (Eureka, Hystrix, Ribbon).

Strong problem-solving ability and attention to detail.

Excellent communication and leadership skills.

38 years of software development experience, preferably in enterprise-scale systems.