Java Developer for Scalable Microservices

5 days ago

Tirupati, Andhra Pradesh, India beBeeBackend Full time ₹ 90,00,000 - ₹ 1,20,00,000

We are seeking a skilled software engineer with hands-on expertise in modern Java development and microservices architecture. This role requires a deep understanding of functional programming concepts, cloud-native development, and event-driven architectures.

You will be part of a high-performing team delivering scalable backend solutions for a global financial services leader undergoing a major modernization effort in its Collateral and Risk Management space.

**Key Responsibilities:**

  • Design and implement microservices using Java functional programming concepts.
  • Collaborate on event-driven systems using Kafka and apply architectural patterns like Choreography, Strangler, and Sidecar.
  • Participate in code reviews, design discussions, and knowledge-sharing sessions.
  • Develop and deploy applications in public cloud environments using services like Cloud Run, GKE, GCS, etc.
  • Write clean, testable, and scalable code with emphasis on readability and maintainability.
  • Contribute to the adoption of modern Java features, including Pattern Matching, Records, and Record Patterns.
  • Demonstrate a foundational understanding of deployment patterns and CI/CD pipelines in cloud environments.

**Technical Requirements:**

**Core Java & Functional Programming**

  • Deep understanding of Java Streams, Functional Interfaces, Lambda expressions, Supplier, Consumer, Function, and reduce operations.
  • Experience with newer Java features (preferably Java 17+).
  • Proficiency in immutable data structures, pure functions, and clean code principles.

**Microservices & Architecture**

  • Strong knowledge of microservices design patterns including: Choreography, Strangler Pattern, and Sidecar Pattern.
  • Hands-on experience with Kafka or other message brokers in an Event-Driven Architecture (EDA).

**Cloud & DevOps**

  • Hands-on experience deploying applications in public cloud providers (GCP, AWS, Azure).
  • Familiarity with Cloud Run, GKE, GCS, or equivalents in other clouds.
  • Understanding of deployment automation, infrastructure as code, and CI/CD best practices.

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