Senior Lead Software Engineer – AI-Driven Trading Platform

JPMorganChase

Chicago (IL)

On-site

USD 160,000 - 210,000

Full time

14 days+
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Job summary

JPMorganChase is seeking a Senior Lead Software Engineer in Chicago to drive secure, scalable technology products within the Commercial & Investment Bank - eTrading team. You will guide agile teams, shape design decisions, and apply advanced C/C++ skills across multiple platforms.

The role emphasizes leadership, problem solving, and adoption of AI-assisted development practices to deliver high-quality financial software in a regulated environment.

Qualifications

  • Formal training or certification on software engineering concepts and 10+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced knowledge of C and C++.

Responsibilities

  • Provides technical guidance to business and technical teams, contractors, and vendors.
  • Develops secure, high-quality production code and reviews code written by others.
  • Drives decisions influencing product design, functionality, and operations.
  • Serves as a function-wide subject matter expert in one or more areas.
  • Contributes to engineering community and SDLC best practices.
  • Influences peers to adopt leading-edge technologies and responsible AI practices.
  • Advocates for diversity, inclusion, and respectful team culture.
  • Promotes AI-assisted governance to improve code quality, speed, and reliability.

Skills

C and C++
Independent problem solving
Cloud native experience
AI-assisted development tools

Education

Computer Science / Computer Engineering / Mathematics

Tools

AI-assisted code review

Job description

JPMorganChase is seeking a Senior Lead Software Engineer in Chicago to drive secure, scalable technology products within the Commercial & Investment Bank - eTrading team. You will guide agile teams, shape design decisions, and apply advanced C/C++ skills across multiple platforms.

The role emphasizes leadership, problem solving, and adoption of AI-assisted development practices to deliver high-quality financial software in a regulated environment.

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