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Job Description

Role Overview :


We are looking for a strong 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 (including Java 21 features), event-driven architectures (Kafka), and cloud-native development (preferably GCP).


You will be part of a high-performing team delivering scalable backend solutions for CLIENT, a global financial services leader that is 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 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.



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 :


1. Choreography (Kafka-based).


2. Strangler Pattern.


3. 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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