Lead Software Engineer - Java, AI, React

JPMorgan Chase & Co.; Hyderabad; On-site; INR 4,000,000 - 8,500,000; Full time

Job summary

JPMorgan Chase & Co. in Hyderabad invites a Lead Software Engineer to drive design and delivery of secure, scalable fintech applications. You will lead an agile team, mentor engineers, and shape AI-assisted development practices across the SDLC.

You will work with Java, Spring Boot, React JS and AI/ML, owning implementation, code reviews, and performance improvements, while ensuring governance, security and resiliency in enterprise systems.

Qualifications

• Formal training or certification on software engineering concepts and 12+ years applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Proficient in Java, Spring Boot, React JS, and AI/ML with cloud-native exposure.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting.
• Develops secure, high-quality production code and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Leads adoption of SDLC/TLM automation to improve delivery speed, quality, and security.

Skills

Java

Spring Boot

React JS

AI/ML

CI/CD

Agile methodologies

Security

Cloud native

Leadership

Job description

Lead Software Engineer - Java, AI, React

Job Information

• Job Identification 210788767
• Job Category Software Engineering
• Business Unit Corporate Sector
• Posting Date 09/15/2026, 08:43 PM
• Locations MAGMA,UNIT-1,PHASE-IV,SY NO.83/1,PLOT NO 2, GR Floor TO 2 Floor and 5 Floor TO 16 Floor,Basement 1,2, Hyderabad, IN-TG, 500081, IN
• Apply Before 09/30/2026, 04:00 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 Corporate Technology line of business, you are 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.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
• 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 and support capacity unlock initiatives.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 12+ years applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) Java, Sprint Boot, React JS, AI/ML
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Experience leading responsible adoption of enterprise-authorized AI‑assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In‑depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

Certification is preferred in AI /Java/ React