Software Engineering Specialist

5 days ago

Alwar, Rajasthan, India beBeeBackend Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Opportunity

We are seeking a highly skilled Java engineer with hands-on experience in functional programming, microservices architecture, and cloud deployment patterns.

This role requires a deep understanding of Java's modern capabilities, event-driven architectures, and cloud-native development.

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 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 Google Cloud Platform (GCP) 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+; familiarity with Java 21 is a plus).
  • 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, and 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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