Lead Software Engineer - Java, Python, AI & Databases

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Lead Software Engineer to drive design, development, and optimization of secure, scalable software solutions. You will contribute across the SDLC, mentor peers, and shape AI-assisted engineering practices within a fast-paced, agile environment.

You will work with Java and Python, leverage AI-assisted tools for code quality and testing, and collaborate with cross-functional teams to deliver trusted technology products for the firm's business objectives.

Qualifications

• 5+ years of applied software engineering experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Proficiency in Java or Python.
• Experience leading AI-assisted software development practices.
• Strong emphasis on secure coding, resiliency and security expectations.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure production code and reviews/debugs others' code.
• Drives adoption of AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools including AI-assisted development and automation capabilities.
• Identifies opportunities to automate recurring issues for stability.
• Leads evaluation sessions with vendors and internal teams on architectures.

Skills

Java

Python

CI/CD

Agile methodologies

Secure coding

Tools

AI-assisted development tools

Code review tooling

Job description

Lead Software Engineer - Java, Python, Databases, AI

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 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

Experience Level Senior Level