JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Salesforce Business Banking

Backend EngineeringConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or 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 engineers on safe, compliant adoption within delivery practices.
Proficiency in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
In-depth knowledge of the financial services industry and its IT systems.
Practical cloud-native experience.
Senior-level engineering experience with demonstrated coaching and mentorship while remaining hands-on.
5+ years of Salesforce development experience, including expertise in Agentforce and AI/LLM-related capabilities and use cases, Apex, Lightning Web Components (LWC), Triggers, Flows, Sales Cloud, Service Cloud, Financial Services Cloud (FSC), REST APIs, and web callouts/integrations.
Strong communication skills and executive presence, with the ability to explain technical details clearly, including how systems work end-to-end and the rationale for design decisions.
Proven experience handling large data volumes, performance tuning, and platform or application optimization.

Responsibilities

Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test strategy acceleration, and incident or root-cause analysis support; establish consistent validation standards for secure coding, peer review, and automated testing; and promote reuse of effective patterns across the team.
Apply knowledge of Software Development Life Cycle toolchain tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Design, develop, and troubleshoot software solutions; break down complex technical problems using practical, effective approaches.
Build secure, production-grade code; review, debug, and improve code written by others.
Identify recurring issues and implement elimination or automation strategies to improve the operational stability of applications and systems.
Participate in evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within the enterprise information architecture.
Contribute to communities of practice to drive awareness and adoption of emerging technologies across software engineering.
Contribute to a team culture rooted in diversity, opportunity, inclusion, and respect.

Desired Qualifications

Financial services industry experience.
Experience building or integrating cloud-native applications.
AWS experience.
Java experience.
Familiarity with Jira, Bitbucket, and source control or version control systems.

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 Consumer and community banking technology team, 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

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.
Design, develop, and troubleshoot software solutions; break down complex technical problems using practical, effective approaches.
Build secure, production-grade code; review, debug, and improve code written by others.
Identify recurring issues and implement elimination/automation strategies to improve the operational stability of applications and systems.
Participate in evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within the enterprise information architecture.
Contribute to communities of practice to drive awareness and adoption of emerging technologies across software engineering.
Contribute to a team culture rooted in diversity, Opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
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
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience
Senior-level engineering experience with demonstrated coaching/mentorship, while remaining hands-on.
5+ years of Salesforce development experience, including deep expertise in: Agentforce and AI/LLM-related capabilities/use cases, Apex, Lightning Web Components (LWC), Triggers, Flows, Sales Cloud, Service Cloud, Financial Services Cloud (FSC), REST APIs, web callouts/integrations
Strong communication skills and executive presence; able to explain technical details clearly, including how systems work end-to-end and why design decisions were made.
Proven experience handling large data volumes, performance tuning, and platform/application optimizations.

Preferred qualifications, capabilities, and skills

Financial services industry experience.
Experience building or integrating cloud-native applications.
AWS experience.
Java experience.
Familiarity with Jira, Bitbucket, and source control/version control systems.

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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