Lead Software Engineer Java, Spring Boot, AI/ML

Mployee.me; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorganChase in Hyderabad, India, is seeking a Lead Software Engineer to join Corporate Technology. You will serve as a core technical contributor, shaping designs, building secure, scalable software, and driving AI-assisted engineering practices across multiple functions.

You will mentor teams, influence architectural decisions, and ensure alignment with security and resiliency standards while delivering market-leading technology products.

Qualifications

• Formal training or certification related to software engineering and 12+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in programming with Java, Spring Boot, React JS.
• Experience leading AI-assisted development tools and ensuring secure, high-quality outputs.

Responsibilities

• Executes creative software solutions and debugging across complex problems.
• Develops secure, production-grade code and conducts code reviews.
• Drives adoption of enterprise AI-assisted engineering practices to improve quality and delivery speed.
• Uses SDLC tools and AI-assisted development to enhance automation and efficiency.
• Identifies recurring issues to improve stability and reduce remediation effort.
• Leads evaluation sessions with internal teams and external vendors on architectural designs.

Skills

Java

Spring Boot

React JS

AI-assisted dev tools

CI/CD

Agile methodologies

Education

12+ years software engineering experience

Job description

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 JPMorganChase within the Corporate Technology LOB, 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. 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

• 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 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, Spring Boot, React JS
• 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
• 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