Lead Software Engineer - Java, Python and AIML

Fairygodboss; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

JPMorganChase in Bengaluru, India seeks a Lead Software Engineer to drive design, development and delivery of secure, scalable financial technology solutions. You will act as a core technical contributor across multiple domains, leading critical engineering work and ensuring robust production code.

You will champion AI-assisted development practices, oversee code quality, mentorship, and collaboration with vendor and internal teams to align with strategic objectives and secure, resilient

Qualifications

• 5+ years of software engineering experience.
• Experience delivering scalable web applications in a cloud environment.
• Experience leading AI-assisted software development practices.

Responsibilities

• Executes creative software solutions and drives architecture discussions.
• Develops secure, high-quality production code and reviews peer code.
• Leads AI-assisted engineering practices to improve code quality and speed.
• Applies SDLC tools and automation to improve delivery value.
• Identifies opportunities to improve operational stability of software.

Skills

5+ years software engineering

AI-assisted development

Code review & debugging

Cloud deployments

DevOps tooling

Education

Bachelor's degree in Computer Science

Tools

Claude Code

Microsoft Copilot

OpenAI API

HuggingFace

Spacy

AWS

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
• Experience in building applications using LLM driven code generation such as Claude Code or Microsoft copilot
• 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
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical knowledge of web application development on AWS
• Good Experience in Java development, cloud deployments and in continuous delivery and DevOps tooling

Preferred qualifications, capabilities, and skills

• Experience in building, evaluating and deploying Machine learning Models into Production
• Experience in integration of standard AI/ML/LLM software solutions, design, development, and technical troubleshooting.
• Experience working with Large Language Models (LLM)/GenAI technology like OpenAI API, (GPT models), HuggingFace models etc. having solid understanding of Transformers architecture.
• Experience in Natural Language Processing and NLP tools and libraries like Spacy.