JPMorgan Chase·BFSI·6 days ago
6 days ago
Lead Software Engineer - Java/Python/Golang/AWS/Kubernetes
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What you'll do
- 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.
What they're looking for
- 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
Nice to have
- Platform Engineering experience
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
BFSI
Company
JPMorgan ChaseBFSI
Bengaluru, India
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