Java with Production support

Website

http : / / www.intraedge.com

Job 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 .