Lead Software Engineer Java, Spring Boot, AI/ML

Aumni; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

JPMorganChase in India is seeking a Lead Software Engineer to drive design, development, and delivery of trusted technology products within Corporate Technology. You will contribute as a core technical member across multiple domains, ensuring secure, scalable solutions that align with business objectives.

The role emphasizes hands-on engineering with expertise in Java, Spring Boot, and React JS, and requires guiding teams in AI-assisted development, secure coding, and robust testing within an

Qualifications

• 12+ years of applied software engineering experience.
• Proven track record in system design, development, testing, and operations.
• Expertise in Java, Spring Boot, and React JS.
• Experience using AI-assisted development tools and ensuring safe AI outputs.
• Strong knowledge of CI/CD, security, and resiliency in software delivery.
• Excellent understanding of Agile methodologies.

Responsibilities

• Design, develop, and troubleshoot software solutions beyond routine approaches.
• Deliver secure, high-quality production code and review peers' work.
• Promote AI-assisted engineering practices to improve quality and speed.
• Leverage SDLC tools to improve automation and outcomes.
• Identify opportunities to automate recurring issues for stability.
• Lead evaluation sessions with vendors and internal teams on architectures.

Skills

Java

Spring Boot

React JS

AI-assisted development tools

CI/CD

Agile methodologies

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

Preferred qualifications, capabilities, and skills

• Lead software engineering to deliver critical technology solutions across diverse domains as a collaborative agile team member