Lead Software Engineer - Java, AWS

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Lead Software Engineer for the API Marketplace within Consumer and Community Banking. You will be a core technical contributor, delivering secure, scalable technology products across business functions.

The role emphasizes agile teamwork, enterprise AI-assisted development, and strong coding practices with a focus on security and resiliency. Ground to fifth floor EMBASSYTECH Village, Bengaluru office drives collaboration.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years of applied experience.
• Proficiency in one or more programming languages (Java, Python, scripting languages).

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting.
• Develops secure and high-quality production code, and reviews and debugs code.
• Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, speed, and outcomes.

Skills

Java

Python

Scripting Languages

Job description

• Business Unit Consumer & Community Banking
• Locations Ground to Fifth Floor G,H Block, EMBASSYTECH VILLAGE-PARCEL 5 OUTER RING RD DEVERABEESANAHALLI VILLA, Bengaluru, IN-KA, 560103, IN
• Job Schedule Full time
• Job Shift Day

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 API Marketplace in Consumer and 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.

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

• F ormal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(Java, Python, Scripting Languages)
• 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 - AWS

Preferred qualifications, capabilities, and skills

API Gateways Knowledge, Security Concepts