Lead Software Engineer Java Spring Boot AI ML

JPMorganChase; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

JPMorganChase in Hyderabad, India seeks a Lead Software Engineer within Corporate Technology to drive secure, scalable technology solutions across multiple business functions. The role emphasizes architectural leadership, delivery of production-grade code, and adoption of AI-assisted engineering practices.

As a core technical contributor, you will shape software design, ensure operational stability, and collaborate with teams to meet business objectives while upholding security and resiliency

Qualifications

• 12+ years of software engineering experience with hands-on system design and development.
• Experience delivering high-quality production code with testing and operational stability.

Responsibilities

• Develops secure, high-quality production code and reviews code written by others.
• Drives enterprise AI-assisted engineering practices to improve code quality, delivery speed, and reliability.
• Leads evaluation of architectural designs with internal teams and external vendors for reuse and integration.
• Applies SDLC tools and automation to improve value realization and efficiency.
• Identifies opportunities to automate recurring issues to improve stability and performance.
• Demonstrates strong understanding of CI/CD, application resiliency, and security in Agile environments.

Skills

Java

Spring Boot

React JS

Tools

AI-assisted development tools

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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

Preferred qualifications, capabilities, and skills

Requirements