Senior Lead Software Engineer, Customer Trust Assessment Platform

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
135 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $208k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $192,050–$223,750.

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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At a glance

TL;DR · Senior Lead Software Engineer, Customer Trust Assessment Platform

As a Sr Lead Software Engineer: Customer Trust Assessment Platform within the Fraud Technology team, you will lead talented individuals to build a NextGen orchestration platform. You will provide technical guidance to business and technology teams while developing secure, production-grade code and making critical decisions regarding product design and operational processes. Your daily work involves building AI agents, implementing retrieval-augmented generation pipelines, and utilizing LLM APIs. The role requires deep expertise in Java, Spring, Spring Boot, and AWS services including ECS, Lambda, and various networking components. You will also drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed. Key technical competencies include designing REST APIs, managing NoSQL and relational databases like Cassandra or PostgreSQL, and implementing Infrastructure as Code using Terraform within an agile environment.

What you'll do

  • Lead the development of a NextGen orchestration platform using Java and AWS.
  • Develop secure, production-grade code while reviewing and debugging code written by others.
  • Provide technical guidance and direction to business teams, contractors, and vendors.
  • Drive decisions regarding product design, application behavior, and operational processes.
  • Implement AI-assisted engineering practices to improve code quality, delivery speed, and testing.
  • Integrate AI-powered tools and RAG pipelines into the software development lifecycle.
  • Advocate for and implement firmwide SDLC frameworks and modern engineering practices.
  • Ensure responsible AI usage by enforcing security standards and data sensitivity protocols.

What we're looking for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience in software development.
  • 10+ years of experience designing, developing, debugging, and maintaining applications in a large corporate environment.
  • Hands-on experience building AI agents, using LLM APIs, and implementing retrieval-augmented generation (RAG) pipelines.
  • Strong hands-on experience with Java, Spring, and Spring Boot.
  • Extensive AWS experience including ECS, Lambda, networking, and core services like IAM and CloudWatch.
  • Experience designing and implementing REST APIs.
  • Demonstrated experience leading the use of AI-assisted software development tools while ensuring security and performance standards.
  • Deep knowledge in technical disciplines such as cloud or AI/ML with a strong understanding of modern engineering practices.

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