JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Lead Software Engineer - Multiple Teams

Backend EngineeringConfirmed live in the last 24 hours

Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Proven expertise in building large-scale, high-throughput applications.
Proficiency in Java, Spring Boot, Kafka, and cloud-native applications.
Proficiency in distributed systems and parallel processing.
Proficiency in performance analysis and tuning, with working knowledge of Java-based profiling and monitoring tools.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment, such as coding, code review, test acceleration, and 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 and outputs, and adherence to resiliency and security expectations; experience coaching senior engineers and leads on compliant usage patterns and controls.
Ability to tackle design and functionality problems independently with little to no oversight.

Responsibilities

Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develop secure and high-quality production code, and review and debug code written by others.
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test acceleration, release readiness, and incident and root-cause analysis; establish measurable validation standards for secure coding, peer review, and automated testing; promote reuse of proven patterns and automation within the software development life cycle and technology lifecycle management toolchain.
Apply 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.
Drive decisions that influence product design, application functionality, and technical operations and processes.
Serve as a function-wide 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.

Desired Qualifications

Working experience with Kafka Streams, event-driven architecture, and microservices architecture.
Good understanding of behavior-driven design.
Understanding of Kubernetes, the APIGEE gateway, and cloud services.
Working knowledge of agentic workflows.
Proven production deliverables in agentic AI.
Hands-on experience across the modern AI toolchain.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Regularly 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
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
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
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

Proven expertise in building large scale & high throughput application
Proficient in Java, Spring Boot, Kafka & cloud native applications
Proficient in distributed systems and parallel processing
Proficient in Performance Analysis and Tuning (Working knowledge of Java based Profiling and Monitoring Tools)
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

Preferred qualifications, capabilities, and skills

Working experience of Kafka Streams, Even Driven Architecture, Microservices Architecture
Good understanding of Behavior driven design
Understanding of Kubernetes, APIGEE gateway and cloud services
Working knowledge of agentic workflows
Proven production deliverables in agentic AI
Hands-on across the modern AI toolchain

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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