Lead Software Engineer - Java & Cloud

JPMorganChase; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

JPMorgan Chase is looking for a Lead Software Engineer to join their Consumer & Community Banking division in Hyderabad, India. The role requires extensive hands-on experience with Java full stack technologies, AWS, and AI-assisted software development tools. You will lead a team focused on developing secure, high-quality software products.

This position demands a strong proficiency in automation, continuous delivery, and agile methodologies. Candidates should possess formal training in software engineering with at least 5 years of experience.

Qualifications

• Strong understanding of responsible AI use in engineering workflows including secure handling of inputs/outputs.
• Hands-on experience with Java full stack including Spring Boot and React.
• Proficient in automation and continuous delivery methods.

Responsibilities

• Develop secure high-quality production code, review and debug code.
• Lead evaluation sessions with vendors to drive outcomes-oriented architectural designs.
• Identify opportunities to automate remediation of recurring issues.

Skills

Java

Python

AWS

AI-assisted software development

Agile methodologies

Education

Formal training or certification in software engineering

5+ years of applied experience

Tools

Jenkins

Spinnaker

Jules

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 JPMorgan Chase within the Consumer & Community Banking, 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.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high‑quality production code, and reviews and debugs code written by others
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• 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

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 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
• Hands on experience in Java full stack, AWS and cloud technologies – Java/J2EE, Spring Boot, React, private/public cloud experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) – Java and Python
• Proficiency in automation and continuous delivery methods using Jenkins, Jules, Spinnaker
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)