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Lead Software Engineer - React

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Onsite

Lead Software Engineer - React

JPMC

Lead Software Engineer - React

Skills

ReactTypescriptCypressMachine LearningAIKubernetes

5 days ago

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Important information


Contract type:

Permanent

Location:

Chicago, IL, USA

Work mode:

Onsite

Published on:

15 October 2026

What they need


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 Corporate 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

  • 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.
  • Drive architectural decisions for distributed systems including event-driven pipelines, CQRS patterns, and real-time data streaming
  • 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
    Collaborate with UX designers and product owners to translate requirements into intuitive UI screens and user flows.
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • 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 degree or certification on software engineering concepts and 5+ years applied experience developing UI’s with hands-on applied experience developing in React
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, and Software Development Lifecycle
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Experience in developing, debugging and automated testing (e.g. react testing library / cypress) within a commercial setting
  • Experience collaborating with backend technology teams in designing scalable and reusable RESTful APIs
  • 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

Preferred qualifications, capabilities, and skills:

  • Exposure to frontend libraries such as ag-grid, highcharts, redux as well as Typescript
  • Exposure to performance tuning complex UI’s would be advantageous.
  • Working within Investment Bank / Finance Technology
  • Team management experience
  • Experience in DevOps model and Kubernetes, cloud auto scalable infrastructure

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