Back
Tier-1 brand, backend title, and metro hiring make applicant competition high.
Strong backend and distributed-systems skills are transferable but payments and enterprise compliance increase domain sensitivity.
Explicit 7.5+ years and deep mandatory distributed-systems, Java, and GenAI technical requirements increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and lead scaling of Java backend microservices handling millions of transactions in a distributed fintech environment.
Integrate and build AI-powered intelligent APIs, including LLM integration and AI/ML inference endpoints for GenAI applications.
Drive code quality through reviews, debugging, automation, and lead development of tools to improve system availability and performance.
7.5+ years of software engineering experience.
Bachelor's or Master's degree in Computer Science, Software Engineering, Distributed Systems, or related field.
Strong expertise in Java, distributed systems architectures, and API development using SOAP/REST with advanced knowledge of frameworks like Spring and concurrency techniques.
Experience with LLM integration, AI-assisted development tools, and GenAI-related technologies (OpenAI API, vector databases, prompt engineering).
Experienced in designing and troubleshooting large-scale distributed microservices with real-time data processing and fault tolerance.
Proficient in using AI tools to enhance development velocity and code quality in production environments.
Comfortable working in cross-functional teams with focus on scalable, secure, and highly available fintech solutions.