Backend Developer - JAVA (Payments)

We are looking for a highly skilled Backend Developer - Java (Payments) for the MTS-III (Member of Technical Staff - II) position who can design and build highly scalable, secure and resilient payment systems powering critical financial transactions at scale. The ideal candidate should have strong expertise in Java-based backend development, payment gateway integrations, transaction processing systems, and distributed microservices architecture.

This role involves building low-latency, fault-tolerant payment infrastructure capable of handling high transaction volumes while ensuring reliability, security, and regulatory compliance.

Opportunities we offer :

- To develop products that will disrupt the Fintech market in India and internationally.

- To build, lead, and develop top technical talent in engineering.

- To learn scalable software development practices and technologies from proven technology experts.

What We Look For :

- 4+ years of experience in software development.

- Strong hands-on expertise in Core Java, Spring Boot, and backend payment systems.

- Experience working on payment gateways, UPI, wallets, banking integrations, reconciliation systems, or transaction processing platforms.

- Good understanding of payment lifecycle, settlement flows, ledgers, PCI-DSS/security best practices, and high-availability financial systems.

- Experience in developing consumer-facing or SaaS applications on Amazon Web Services, Microsoft Azure, or Google Cloud.

- Proven experience building scalable microservices for high-volume financial transactions.

- Several years of previous experience as a software engineer, Lead Engineer developing web services or web applications in Node JS, Python, Go, React, Next or Java.

- Excellent knowledge of microservices architecture, distributed design patterns, and a proven track record of architecting highly scalable and fault-tolerant web applications catering to millions of end users.

- Sound understanding of SQL databases like MySQL or PostgreSQL and NoSQL databases like Cassandra and MongoDB.

- Experience running containerized workloads on Kubernetes or Open Shift.