Lead Software Engineer - Java/Python/Golang/AWS/Kubernetes

JPMorganChase; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer within the Chief Technology Office in Bengaluru to shape and deliver trusted technology products in a secure, scalable environment. You will drive cross-functional engineering efforts, influence design decisions, and lead the adoption of AI-assisted development practices across the team.

The role emphasizes building secure, high-quality production code, collaborating across multiple technologies, and mentoring peers to advance engineering

Qualifications

• Formal training or certification on software engineering concepts (8+ years applied experience).
• Hands-on experience delivering system design, application development, testing, and operational stability.

Responsibilities

• Lead the design, development, and evolution of a highly scalable CI/CD Platform.
• Develop secure and high-quality production code, and review and debug code.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities, to boost automation value.
• Drive decisions influencing product design, application functionality, and technical operations.
• Serve as a subject matter expert in one or more areas of focus and promote firmwide SDLC frameworks.

Skills

Java

Python

Go

CI/CD

AI-assisted development

Tools

CI/CD Toolchain

AI-assisted development tools

Job description

Job Description

Join a dynamic team where your expertise shapes technology products and accelerates your career growth. Make a meaningful impact by advancing engineering excellence.

Job Description

Join a dynamic team where your expertise shapes technology products and accelerates your career growth. Make a meaningful impact by advancing engineering excellence.

As a Lead Software Engineer at JPMorgan Chase within the Chief technology office team, you will play a pivotal role in enhancing, building, and delivering trusted technology products in a secure, stable, and scalable environment. You will drive business impact through your technical capabilities and problem-solving skills, tackling diverse challenges across multiple technologies and applications. Our inclusive team values collaboration, innovation, and continuous improvement, empowering you to contribute and grow with us.

Job Responsibilities

• Lead the design, development, and evolution of a highly scalable CI/CD Platform.
• Develop secure and high-quality production code, and review and debug code.
• 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.
• Drive decisions that influence product design, application functionality, and technical operations and processes.
• Serve as a subject matter expert in one or more areas of focus.
• Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.

Required Qualifications, Capabilities And Skills

• Formal training or certification on software engineering concepts and 8+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java, Python, or Go programming 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
• Ability to tackle design and functionality problems independently with little to no oversight
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical cloud native experience

Preferred Qualifications, Capabilities And Skills

• Platform Engineering experience