JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Java/Python, AI/ML

Backend EngineeringUpdated on Nov 11

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least five years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages such as Java, Python, or Go.
Demonstrated experience leading the effective use of enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
Ability to tackle design and functionality problems independently with little to no oversight.
Practical cloud-native experience.

Responsibilities

Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develop secure, high-quality production code, and review and debug code written by others.
Use Software Development Life Cycle toolchain capabilities, including approved AI-assisted development and automation tools, to improve automation value at scale.
Drive decisions influencing product design, application functionality, technical operations, and processes.
Serve as a function-wide subject matter expert in one or more areas of focus.
Advocate for firmwide Software Development Life Cycle frameworks, tools, and practices within the engineering community.
Execute creative software solutions, design, development, and technical troubleshooting, using non-routine approaches to solve technical problems.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards for secure coding, peer review, and automated testing and promoting reuse of effective patterns.
Use enterprise-authorized AI-assisted development and automation capabilities to improve the value realized from automation.

Desired Qualifications

Understanding of statistical model concepts, including regression and XGBoost, and their applications.
Understanding of core generative AI concepts and their application in reliability settings.
Understanding of agentic systems and their use in Site Reliability Engineering environments to solve reliability problems.
Experience with common machine-learning tools and frameworks, such as Python, Spark, and Airflow, and with cloud platforms, preferably AWS; cloud-platform certifications are also preferred.

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 JPMorgan Chase within the Commercial & Investment Bank, Payments Technology, 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

Provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life CycleExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
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.

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
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) in Java, Python, Go etc
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience

Preferred qualifications, capabilities, and skills

Understanding of the core concepts of statistical models (regressions, xgboost etc) and applications of those
Understanding of core GenAI concepts and howto apply those in reliability settings
Understanding of agentic systems and how they work in SRE environments to solve reliability problems
Experience in common ML tools and frameworks such Python, Spark, Air flow and cloud platform. Experience in Cloud platforms (preferably AWS) and certifications

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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