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SDE 2 Fullstack Engineer

Job Description - SDE 2 Fullstack Engineer

Team: Engineering
Experience: 3 to 5 Years
Location: Mumbai - Andheri East
Reports to: Engineering Manager


Role Overview
Joins the engineering team working across a Java/Spring Boot backend and a React frontend, building and owning product features end to end — from design discussion through to deployment and monitoring on AWS — in close collaboration with product and design.
The platform processes invoices, payments and reconciliation for large enterprises, so correctness and reliability matter as much as delivery speed. A significant share of the code is authored with AI coding agents, and engineers are expected to use them well while remaining fully accountable for what ships.


Key Responsibilities
• Develop, test and maintain scalable backend services using Java, Spring Boot, PostgreSQL, Redis and Kafka.
• Build and enhance React-based frontend applications with clean, reusable and performant code.
• Integrate frontend and backend through well-designed REST APIs.
• Participate in design discussions and contribute to system architecture decisions.
• Ensure applications meet performance, reliability and security standards, including for financial workflows.
• Deploy, monitor and optimise services on AWS cloud infrastructure.
• Contribute to ETL pipelines and data workflows where projects require it.
• Collaborate with product, design and customer-facing teams to deliver high-quality features.


Qualifications
• 3–5 years of professional software development experience.
• Strong experience with Java, Spring Boot and REST API design.
• Hands-on experience with PostgreSQL, Redis and Kafka in production systems.
• Proficiency with React.js and modern frontend practices.
• Solid understanding of data structures, algorithms and system design.
• Familiarity with AWS services (EC2, RDS, S3, Lambda) and with Git and CI/CD workflows.
• Clear written and verbal communication, and the ability to collaborate across teams.
Preferred / General Requirements
• Working knowledge of LLM-powered workflows, RAG pipelines, OCR or agentic AI systems.
• Effective day-to-day use of AI coding agents as part of the development workflow.
• Exposure to high-scale environments and the evolutionary technical challenges they present.
• Understanding of distributed systems and their operational complexities.


• Experience with fintech, payments or enterprise SaaS products.
• A proactive approach to learning, and attention to operational quality as a product concern.

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