Lead Software Engineer - .NET, React Fullstack

JP Morgan Chase; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

JP Morgan Chase in Bengaluru, India is seeking a Lead Software Engineer to design, develop and deploy scalable full-stack applications using .NET and React. You will build RESTful APIs with C# and ASP.NET Core, create responsive front-ends with React/TypeScript, and implement AWS cloud-native solutions.

Expect strong skills in Terraform, databases, debugging, and secure coding within an agile team; drive AI-assisted engineering adoption and contribute to architecture reviews and CI/CD

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience in full-stack application development and system design.
• Strong proficiency in C#, .NET, and ASP.NET Core.
• Strong front-end experience with React (with TypeScript). Practical experience with AWS services and cloud deployment patterns.
• Hands-on Terraform experience for Infrastructure as Code.
• Experience with relational and/or NoSQL databases and query optimization.
• Strong debugging, testing, and performance tuning skills.
• Understanding of SDLC, secure coding, and agile development practices.
• Familiarity with CI/CD, application resiliency, and observability best practices.
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

Responsibilities

• Designs, develop, test, and deploy scalable full-stack applications using .NET and React
• Builds and maintain RESTful APIs and backend services using C# and ASP.NET Core
• Develops responsive, user-friendly front-end interfaces using React, TypeScript, HTML, and CSS
• Implements cloud-native solutions on AWS (compute, storage, networking, monitoring, security)
• Automates infrastructure provisioning and environment management using Terraform; troubleshoots and resolve production issues across application and cloud infrastructure layers
• Writes secure, clean, maintainable production code; contributes to architecture, design reviews, and technical decision-making
• Collaborates with cross-functional teams (product, QA, DevOps, security) in agile Sprints
• Supports CI/CD pipelines and improve release reliability, performance, and resiliency
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of SDLC tooling to improve value realized by automation

Job description

Lead Software Engineer - .NET, React Fullstack

• Job Identification 210798503
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 11/04/2026, 08:11 AM
• Apply Before 11/07/2026, 05:00 AM
• Job Schedule Full time
• Job Shift Day

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Designs, develop, test, and deploy scalable full-stack applications using .NET and React
• Builds and maintain RESTful APIs and backend services using C# and ASP.NET Core
• Develops responsive, user-friendly front-end interfaces using React, TypeScript, HTML, and CSS
• Implements cloud-native solutions on AWS (compute, storage, networking, monitoring, security)
• Automates infrastructure provisioning and environment management using Terraform. Troubleshoots and resolve production issues across application and cloud infrastructure layers
• Writes secure, clean, maintainable, and well-documented production code. Contributes to architecture, design reviews, and technical decision-making
• Collaborates with cross-functional teams (product, QA, DevOps, security) in agile sprints
• Supports CI/CD pipelines and improve release reliability, performance, and resiliency
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience in full-stack application development and system design
• Strong proficiency in C#, .NET, and ASP.NET Core
• Strong front-end experience with React (with TypeScript). Practical experience with AWS services and cloud deployment patterns
• Hands-on Terraform experience for Infrastructure as Code. Experience with relational and/or NoSQL databases and query optimization
• Strong debugging, testing, and performance tuning skills
• Understanding of SDLC, secure coding, and agile development practices
• Familiarity with CI/CD, application resiliency, and observability best practices
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

• Experience with containerization and orchestration (Docker, Kubernetes, ECS/EKS)
• Knowledge of microservices and event-driven architecture
• Familiarity with automated testing frameworks and test strategy
• Experience with monitoring/logging tools (CloudWatch, ELK, Datadog, etc.). Exposure to enterprise-scale distributed systems