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In office (Bengaluru)

First seen by Alion on Aug 31, 2026.

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Rakuten is a global technology and e-commerce conglomerate headquartered in Tokyo, Japan, and founded in 1997. The company provides a diverse range of services including online retail, financial services, digital content, and telecommunications through its ecosystem of over 70 businesses. Operating across 30 countries and regions, the group utilizes its Rakuten India division as a major global technology hub for research, development, and innovation.

We are seeking a highly skilled and experienced Java expert to join our team as a Consultant - Java. In this role, you will be responsible for designing and implementing scalable, high-performance systems while driving technical excellence across the organisation. You will work closely with cross-functional teams to architect, design, and deliver robust solutions using cutting-edge technologies. This is a hands-on role that requires deep expertise in Java, system design, and modern software development practices.

Responsibilities:

  • Architect and Design Systems: Lead the design and architecture of scalable, distributed, and high-performance systems using Java, Spring Boot, and microservices.
  • Hands-on Development: Write clean, efficient, and maintainable code in Java, ensuring adherence to best practices and design principles.
  • System Design: Create detailed system designs, including high-level architecture, component diagrams, and data flow, to solve complex business problems.
  • Microservices Development: Design and implement microservices-based architectures, ensuring scalability, fault tolerance, and high availability.
  • Big Data Integration: Work with big data technologies to design and implement data pipelines, processing frameworks, and storage solutions.
  • Database Expertise: Design and optimise database schemas and queries for MongoDB and other NoSQL/relational databases.
  • Technical Leadership: Provide technical guidance and mentorship to engineering teams, ensuring adherence to design principles and coding standards.
  • Collaboration: Work closely with product managers, stakeholders, and other engineering teams to understand requirements and deliver high-quality solutions.
  • Performance Optimisation: Identify and resolve performance bottlenecks in applications and systems.
  • Innovation: Stay updated with the latest trends and advancements in technology, and recommend their adoption where appropriate.

Requirements:

  • Proven Experience: Hands-on experience in Java development, with a strong focus on system design and architecture.
  • Java Expertise: Deep understanding of Java, including multithreading, concurrency, and performance optimisation.
  • Spring Boot: Extensive experience with Spring Boot and related frameworks for building enterprise-grade applications.
  • Microservices Architecture: Strong knowledge of microservices design patterns, RESTful APIs, and service orchestration.
  • System Design: Expertise in designing scalable, distributed systems with a focus on high availability and fault tolerance.
  • Big Data Technologies: Hands-on experience with Big Data tools and frameworks (e. g., Hadoop, Spark, Kafka, etc. ).
  • MongoDB: Proficiency in working with MongoDB, including schema design, indexing, and query optimisation.
  • Design Principles: Strong understanding of software design principles, including SOLID, DRY, and design patterns.
  • Hands-on Coding: Ability to write high-quality, production-ready code and perform code reviews.
  • Problem-Solving: Excellent analytical and problem-solving skills with a focus on delivering scalable solutions.
  • Collaboration: Strong communication and interpersonal skills to work effectively with cross-functional teams.
  • Experience with cloud platforms (e. g., AWS, Azure, GCP) and containerisation technologies (e. g., Docker, Kubernetes).
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Knowledge of event-driven architectures and messaging systems (e. g., RabbitMQ, Kafka).
  • Experience with monitoring and logging tools (e. g., Prometheus, Grafana, ELK stack).
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