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 :

- 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.