Lead Software Engineer - Java Python Databases AI

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

Job summary

JPMorganChase in Bengaluru is seeking a Lead Software Engineer to join the Chief Technology Office. You will be a core technical contributor driving design, development, security, and performance across multiple business domains in a fast-paced environment.

You will lead efforts in AI-assisted development, establish validation standards, and collaborate with vendors and teams to ensure scalable, reliable technology solutions that align with firm objectives.

Qualifications

• Formal training or certification in software engineering concepts.
• Experience delivering system design, app development, testing, and operations.
• Advanced in one or more programming languages like Java or Python.
• Experience using AI-assisted development tools and ensuring AI outputs are validated.
• Strong understanding of secure and resilient engineering practices.

Responsibilities

• Executes creative software solutions with ability to tackle non-routine problems.
• Writes secure, high-quality production code and reviews others' code.
• Drives adoption of enterprise AI-assisted engineering practices to improve quality and speed.
• Leverages SDLC tools and automation to increase value and reliability.
• Identifies and automates recurring issues to improve stability of apps and systems.
• Leads evaluation sessions with vendors and internal teams on architectures.

Skills

Java

Python

AI-assisted tools

Agile methodologies

Software design

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 Chief technology Office team, 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
• Advanced in one or more programming language(s) like JAVA, Python
• 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

Preferred qualifications, capabilities, and skills

• Hands on experience in full stack development
• Knowledge of the financial services industry and their IT systems preferred
• Practical cloud native experience