Lead Software Engineer - Java, Python and AWS

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

JPMorganChase in Bengaluru leads agile teams to build trusted, scalable market-leading technology products within Asset and Wealth Management. You will contribute as a core technical member, delivering secure production code and guiding AI-assisted practices across the SDLC.

The role requires strong back-end skills (Java/Python), microservices, AWS, and a focus on security and reliability in a cloud-native environment.

Qualifications

• Formal software engineering training and 5+ years of applied experience.
• Experience delivering system design, application development, testing, and operational stability.
• Experience using AI-assisted development tools and secure coding practices.

Responsibilities

• Executes innovative software solutions and designs, tackling complex problems.
• Develops secure, high‑quality production code and reviews peers' code.
• Promotes AI-assisted engineering practices to improve quality and speed.
• Leverages SDLC tools and cloud capabilities to enhance automation and delivery.
• Drives architectural evaluation sessions with vendors and teams.

Skills

System design

Java

Python

Microservices

AI-assisted development

CI/CD

Secure coding

Agile

Tools

AWS

RESTful APIs

WebSockets

JSON

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 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.