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Software Development Lead

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Onsite

Software Development Lead

Cashfree Payments

Software Development Lead

Skills

MongoDBJavaSpring BootMySQLAmazon EC2AIAWS

13 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


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)

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