Backend Developer- (Java & AWS)

Job Role: Backend Developer (Java & AWS)

We are seeking a Software Engineer to develop, maintain, and scale next-generation, high-performance services that support fraud detection and remediation. The ideal candidate will have strong experience building cloud-native, distributed systems and scalable platforms that handle high transaction volumes.

Key Responsibilities

• Design, develop, and maintain scalable, flexible, and high-performance services for the Fraud organization.
• Own the end-to-end software development lifecycle, including design, implementation, testing, deployment, and support.
• Ensure all development activities adhere to industry standards, security best practices, and compliance requirements.
• Collaborate with engineering teams through pair programming, code reviews, and knowledge-sharing initiatives.
• Work closely with product and cross-functional teams to deliver reliable and scalable solutions.
• Propose and implement data-driven solutions to improve system performance and operational efficiency.
• Continuously enhance documentation, engineering processes, and development standards.

Required Skills & Qualifications

• Minimum 4+ years of professional software development experience.
• Strong passion for building and improving high-quality, resilient software systems.
• Proven experience building scalable platforms and services that process millions of transactions daily.
• Strong hands-on experience with:
• Java
• Spring Boot
• Microservices Architecture
• Experience designing and developing RESTful APIs and distributed systems.
• Strong experience with AWS Cloud and multiple AWS services.
• Hands-on expertise with:
• Amazon ECS (Elastic Container Service)
• Amazon EKS (Elastic Kubernetes Service)
• AWS Lambda
• Experience building and deploying cloud-native applications in highly available and scalable environments.
• Strong understanding of software design principles, performance optimization, and system scalability.

Preferred Qualifications

• AWS Certification such as AWS Certified Developer Associate and/or AWS Certified Solutions Architect.
• Experience with Amazon DynamoDB is a strong advantage.
• Exposure to or hands-on experience with Generative AI (GenAI), Large Language Models (LLMs), AI-powered applications, or AI integration frameworks is a plus.
• Experience with CI/CD pipelines, containerization, and infrastructure automation is preferred.
• Knowledge of monitoring, observability, and production support best practices is an advantage.