Lead Software Engineer, Java, Equities Derivatives Front Office Flow Technology

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Houston, TX
Posted
28 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $198k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $184,900–$211,200.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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TL;DR · Lead Software Engineer, Java, Equities Derivatives Front Office Flow Technology

As a Lead Software Engineer within the Equities Derivatives Front Office Flow Technology team, you will serve as a core technical contributor in an agile environment. You will develop Java services within a distributed hybrid-cloud system to support end-to-end derivative product processing and build robust APIs for data persistence and business logic. Your role involves designing and building AI agents and agentic pipelines to automate software development, testing, and operational workflows while promoting enterprise-authorized AI-assisted engineering practices. You will also develop JavaScript and C# front-end desktop applications to interface with backend services. The work focuses on solving complex technical challenges within the equities derivatives domain, specifically involving vanilla options, variance swaps, and risk exposure evaluation. Required skills include Java, AWS, Kubernetes, Docker, NoSQL systems like Cassandra or MongoDB, and experience with CI/CD pipelines.

What you'll do

  • Develop Java services within a distributed hybrid-cloud system for end-to-end derivative product processing.
  • Design and build AI agents and agentic pipelines to automate software development, testing, and operational workflows.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Build scalable, secure, and efficient APIs to persist data and implement core business logic.
  • Develop JavaScript and C# front-end desktop applications to interface with backend Java services.
  • Partner with front-office stakeholders to deliver technology solutions for Equities Derivatives trading workflows.
  • Implement robust automated testing and code review standards to ensure high-quality software delivery.
  • Manage the full project lifecycle by breaking down business requirements into technical deliverables and estimates.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Demonstrated experience leading the use of approved AI-assisted software development tools for coding, review, testing, and troubleshooting.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and security compliance.
  • Strong object-oriented design skills with knowledge of modeling and design patterns.
  • Experience with development, deployment, and maintenance of commercial service-oriented applications.
  • Ability to solve complex problems with a mathematical or technological background.
  • Knowledge of Java, AWS, Kubernetes, Docker, or other cloud technologies (preferred).
  • Business knowledge of simple derivative products and exposure to NoSQL systems (preferred).

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