Description

You will design and implement scalable microservices for high-volume cards and payments processing, integrating GenAI and LLM capabilities.

This role is on-site.

Responsibilities

• Build secure APIs for authorizing, clearing, and settling card transactions using Java and Spring Boot.
• Integrate GenAI features including RAG, agentic systems, and Microsoft Copilot into payment workflows.
• Optimize application performance by tuning JVM parameters and refining database interactions during peak transaction windows.
• Implement robust error handling, logging, and monitoring to ensure deep observability of microservices health.
• Conduct code reviews, mentor engineers, and collaborate with product owners to refine technical designs.

Required Skills

• 6+ years of experience with Java, Python, and Spring Boot/MVC.
• Strong understanding of microservices architecture and distributed systems.
• Experience with GenAI, LLMs, RAG, and Agentic Systems.
• Proficiency in JavaScript and building efficient APIs.
• Knowledge of relational databases, caching strategies, and messaging systems.
• Familiarity with continuous integration practices and testing frameworks.
• Experience in cards and payments, including authorization flows and fraud controls.

Preferred Skills

• Experience with NodeJS, Document AI, IDP, OCR, or NLP.
• Knowledge of virtual assistant platforms such as Kore.ai.

Key Skills

Education

Any Graduate