Senior Lead C++ Engineer - FICC eTrading (Low-Latency)

JPMorgan Chase

Greater London

On-site

GBP 120,000 - 160,000

Full time

14 days+

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Job summary

J.P. Morgan is seeking a Senior Lead Software Engineer to join the Commercial & Investment Bank – eTrading team in London. You will lead a high-performing, agile group delivering trusted market-leading technology in a secure, scalable fashion.

You will guide design choices, drive secure production code, review peers, and promote responsible AI use across teams. The role requires deep expertise across cloud native architectures and low-latency systems.

Qualifications

  • Formal training or certification in software engineering concepts with applied experience.
  • Experience delivering system design, application development, testing, and stability.
  • Proven mastery of C/C++ and enterprise AI-assisted tooling.

Responsibilities

  • Provides technical guidance to support the FICC eTrading teams and vendors.
  • Develops secure, high-quality production code; reviews others' code.
  • Influences product design, functionality, and operations decisions.
  • Acts as a subject matter expert across focus areas within the function.
  • Contributes to SDLC governance and promotes AI-assisted engineering practices.
  • Promotes use of leading-edge technologies and secure coding standards.
  • Advances team culture around diversity, inclusion, and respect.
  • Ensures automation and tooling improve code quality and delivery speed.
  • Leverages SDLC tools and validated AI outputs to improve value.

Skills

C and C++ programming
Cloud native
AI-assisted tools
Secure coding practices

Education

BS in Computer Science or related field

Tools

CI/CD pipelines
Security tooling

Job description

J.P. Morgan is seeking a Senior Lead Software Engineer to join the Commercial & Investment Bank – eTrading team in London. You will lead a high-performing, agile group delivering trusted market-leading technology in a secure, scalable fashion.

You will guide design choices, drive secure production code, review peers, and promote responsible AI use across teams. The role requires deep expertise across cloud native architectures and low-latency systems.

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