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Lead Software Engineer

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 10 days ago

No clicks

**Lead Software Engineer - Cloud Financial Management** - **Role**: Core tech contributor driving secure, scalable solutions in an agile team. Leads code development, reviews, and troubleshooting, automating remediation for improved stability. - **Technical Skills & Experience**: Proven expertise in software engineering (5+ yrs), React JS, Java/Python, agile methodologies (CI/CD, resiliency, security), cloud native experience, and financial services industry knowledge. - **Leadership & Collaboration**: Leads vendor evaluations, promotes AI-assisted engineering, drives OKRs, and fosters diversity and inclusion. - **Impact**: Develops secure, high-quality code and explores new technologies to enhance software systems, with a strong focus on responsible AI use within delivery practices.

Compensation
Not specified

Currency: Not specified

City
Atlanta
Country
United States

Full Job Description

Location: Atlanta, GA, United States

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 Cloud Financial Management Technology group, 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 firms business objectives.

 

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • 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.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Advanced in modern front-end development with React JS, including component-driven architecture, state management, performance optimization, and building responsive, accessible user interfaces
  • Hands-on experience modernizing front-end applications (e.g., migrating legacy UI stacks to React, improving build/tooling and CI/CD) and automation scripting for the front end (e.g., automated UI testing, build/release automation, and regression prevention)
  • Advanced in one or more programming language(s), specifically Java or Python
  • 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 and practical cloud native experience

 

Preferred qualifications, capabilities, and skills

  • E2E testing with Playwright (or similar)
  • Experience with charting/data visualization libraries (e.g., D3/Highcharts/ECharts) and building analytics-style UIs
  • Experience integrating front-end applications with backend APIs and working with large datasets (performance, pagination/virtualization, caching, error handling).
 
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Lead Software Engineer

Compensation

Not specified

City: Atlanta

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

10 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Lead Software Engineer - Cloud Financial Management** - **Role**: Core tech contributor driving secure, scalable solutions in an agile team. Leads code development, reviews, and troubleshooting, automating remediation for improved stability. - **Technical Skills & Experience**: Proven expertise in software engineering (5+ yrs), React JS, Java/Python, agile methodologies (CI/CD, resiliency, security), cloud native experience, and financial services industry knowledge. - **Leadership & Collaboration**: Leads vendor evaluations, promotes AI-assisted engineering, drives OKRs, and fosters diversity and inclusion. - **Impact**: Develops secure, high-quality code and explores new technologies to enhance software systems, with a strong focus on responsible AI use within delivery practices.

Full Job Description

Location: Atlanta, GA, United States

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 Cloud Financial Management Technology group, 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 firms business objectives.

 

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • 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.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Advanced in modern front-end development with React JS, including component-driven architecture, state management, performance optimization, and building responsive, accessible user interfaces
  • Hands-on experience modernizing front-end applications (e.g., migrating legacy UI stacks to React, improving build/tooling and CI/CD) and automation scripting for the front end (e.g., automated UI testing, build/release automation, and regression prevention)
  • Advanced in one or more programming language(s), specifically Java or Python
  • 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 and practical cloud native experience

 

Preferred qualifications, capabilities, and skills

  • E2E testing with Playwright (or similar)
  • Experience with charting/data visualization libraries (e.g., D3/Highcharts/ECharts) and building analytics-style UIs
  • Experience integrating front-end applications with backend APIs and working with large datasets (performance, pagination/virtualization, caching, error handling).
 
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team