Java with Production support

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Title: Java Developer/Engineer with GCP/AWS/Azure
Location: Remote
Expereince-4+Years
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/AWS/Azure ).
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 .