Scalable Software Engineer

4 days ago

Kannur, Kerala, India beBeeBackend Full time ₹ 12,00,000 - ₹ 20,00,000
About the Role

We are seeking a skilled Java engineer with hands-on experience in functional programming, microservices architecture, and cloud deployment patterns. This position demands expertise in Java's modern capabilities, event-driven architectures, and cloud-native development.

This individual will join a high-performing team delivering scalable backend solutions for a global financial services leader undergoing modernization efforts in its collateral and risk management space.

Key Responsibilities:

  • Design and implement microservices using modern 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 GCP (or any public cloud) 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.

Core Requirements:

Proficiency in 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 (Kafka-based)
  • Strangler Pattern
  • 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 GCP or another cloud provider (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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