Java Software Engineer

Requirement - Java Engineer

Organisation -Intraedge Technology Pvt. Ltd.

Work Mode - Remote

Employment Type - Full-time

Exp - 4 to 7 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).

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.