Lead Software Engineer - Java Python And AWS

JPMorganChase; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

JPMorganChase in Bengaluru leads an agile team focused on building trusted market-leading technology products within Asset and Wealth Management. As a Lead Software Engineer, you will contribute technically across multiple areas, drive secure, scalable solutions, and guide AI-assisted development practices to improve code quality and delivery speed.

The role requires strong Java/Python backend expertise, cloud-native AWS experience, and a track record of delivering high-quality production code

Qualifications

• 5+ years of software engineering experience in backend systems.
• Experience delivering secure, scalable production code with a focus on reliability.
• Proven experience leading AI-assisted development practices and code reviews.
• Strong background in Java and Python with microservices architecture.
• Cloud native experience on AWS and building RESTful APIs.
• Familiarity with CI/CD, security, and resiliency in delivery.

Responsibilities

• Executes software solutions with ability to innovate beyond routine approaches.
• Develops secure, high-quality production code and performs reviews.
• Leads adoption of AI-assisted engineering practices to improve quality and speed.
• Uses SDLC tools to enhance automation and delivery value.
• Identifies opportunities to automate remediation and improve stability.
• Leads architectural evaluation sessions with vendors and internal teams.

Skills

5+ years exp

AI-assisted dev

Secure coding

Back-end dev (Java/Python)

Cloud (AWS)

REST/WebSockets/JSON

CI/CD

Agile

Security

Tools

Jenkins

CI/CD 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 Asset and Wealth Management, 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 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 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
• Advanced in one or more programming language(s) in back-end technologies, Java and Python with experience building microservices-based applications; Ready to learn and pickup any technologies stack as needed
• Practical cloud native experience working with cloud platforms in AWS, distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
• 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

Preferred qualifications, capabilities, and skills

• Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
• Strong problem-solving, analytical, and communication skills.
• Ability to drive broader impact by sharing and contributing best practices.
• Exposure to frontend technologies like Reactjs, Angular.
• Experience in the banking domain.
• AWS certification.