Full time • On-Site

Cashfree Payments India Private Limited; Lead (SD); On-site; USD 120,000 - 210,000; Full time

Job summary

Cashfree Payments seeks an experienced software engineering lead to design and scale Java EE applications. You will guide a team across web, backend, and systems, applying best practices for agile delivery and rapid iteration.

Ideal candidates bring 6+ years in Java, Spring MVC/Boot, OO design, and a track record of leading engineers. A strong affinity for AI, cloud technologies, and scalable distributed systems is required.

Qualifications

• 6+ yrs of hands-on software engineering in Java EE apps.
• Experience as lead developer or technical lead leading a team.
• Proficiency with Spring MVC/Spring Boot and OO design.
• Ability to translate product thinking into high-impact solutions.
• Experience with AI engineering, automation, and emerging tech.
• Cloud exposure with AWS services (EC2, S3, RDS).
• Experience designing scalable distributed systems and databases (MySQL/MongoDB).

Responsibilities

• Write high-quality code, review code, and design/architect systems.
• Work on web app layer, backend, systems, streaming and related tech.
• Establish best practices for agile delivery and high quality.
• Scale distributed apps; balance synchronous/asynchronous patterns.
• Optimize APIs; create/maintain unit tests and fix defects.
• Participate in CI/CD for automated builds and deployments.
• Collaborate with engineering leadership on complex solutions.

Skills

Java EE

Spring Boot

OOD

Product Thinking

AI Engineering

AWS

NoSQL

MySQL

MongoDB

Distributed Systems

Tools

Spring MVC

AWS (EC2, S3, RDS)

Job description

At Cashfree Payments, we scale businesses swiftly, leveraging expertise in India's D2C and e-

commerce growth.

Founded in 2015, we process transactions worth $80B annually and are trusted by more than 800,000 businesses. Authorised by the Reserve Bank of India, we are one of the first entities to receive critical licences like PA-PG, PA-CB and PPI in the sector. We enable seamless collections, payouts, identity verification, and fraud detection.

We are backed by Silicon Valley investor Y Combinator, Apis Partners, Krafton Inc, State Bank of India (SBI), and were incubated by PayPal.

Responsibilities:

• Writing high-quality code, participating in code reviews, designing/architecting systems of varying complexity and scope

• Work on the web application layer, backend, systems, streaming and other associated technology to build our product and components

• Establish and implement best practices across an engineering team to ensure high quality and consistent agile delivery

• Scale distributed applications, make architectural tradeoffs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality

• Optimize APIs for any applications while creating and maintaining unit tests for new code as well as fix defects

• Participate in the continuous integration of automated builds and deployments, ensuring that deliverables meet functional and design requirements and specifications of the site/software

• Work with engineering leadership in solving and architecting solutions for challenging or complex site/software development issues

Requirements:

• 6+ yrs of relevant hands-on software engineering experience in designing, building and testing Java EE applications & 2+ years of experience being lead developer or technical lead or similar position where you lead a team of developers/engineers

• In-depth knowledge of popular Java frameworks like Spring MVC/Spring Boot

• Experience with Object-Oriented Design (OOD)

• Product Thinking: Uncover the why,challenge assumptions and turn ambiguity into simple, high-impact solutions that translate intent into action.

• Innovation: Challenge the status quo, simplify complexity, embrace new technologies, and turn curiosity → experiment → insight → solution into elegant, reliable, scalable systems that create lasting value.

• AI Engineering: Build practical expertise in AI, LLMs, agents, automation, and emerging technologies to transform engineering workflows with context-aware, evidence-based, reliable, validated, and safely controlled AI solutions.

• Knowledge of working on cloud technologies and exposure of AWS services (EC2, RDS, S3, etc.

• Experience in designing and implementing scalable solutions in a large-scale distributed environment

• Strong knowledge of RDBMS and any other NoSQL database technologies (Mysql, MongoDB)