Fraud Tech Lead Software Engineer, Cloud

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Tampa, FL
Posted
64 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $190k
$163k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $169,300–$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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At a glance

TL;DR · Fraud Tech Lead Software Engineer, Cloud

As a Fraud Tech Lead Software Engineer - Cloud within the Payments Trust and Safety Technology group, you will join an agile team focused on building secure, stable, and scalable products. You will develop high-quality production code, perform technical troubleshooting, and design tools to automate performance measurement while proactively identifying issues that impact scalability. Your role involves driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed. You will utilize Java, Spring Boot, Microservices, and AWS services including ECS, EKS, Lambda, S3, EC2, Kafka, and NLB. The work centers on creating solutions for merchants to protect against fraudulent behavior within the financial services industry. You must possess expertise in system design, CI/CD, application resiliency, security, and managing complex case management workflows and orchestration across multiple cross-functional teams.

What you'll do

  • Develop secure, high-quality production code and perform peer code reviews.
  • Design and implement creative software solutions to solve complex technical problems.
  • Monitor and analyze product performance and scalability across diverse hardware and configurations.
  • Create tools to automate performance measurement and analysis.
  • Drive the adoption of enterprise-authorized AI-assisted engineering practices for code quality and delivery speed.
  • Establish validation standards for secure coding, peer review, and automated testing.
  • Develop methodologies for standard performance benchmarks and comparisons.
  • Implement system designs using Java, Spring Boot, Microservices, and AWS services.

What we're looking for

  • Formal training or certification in Software Engineering concepts and 5+ years of applied experience.
  • Advanced hands-on development experience in Java, Spring Boot, and Microservices.
  • Experience with AWS services including ECS/EKS, Lambda, S3, EC2, Kafka, and NLB.
  • Experience with databases and advanced understanding of the Software Development Life Cycle, CI/CD, and application resiliency.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and coaching others on safe, compliant adoption.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Strong enterprise architecture design concepts for unified user experiences using API and Kafka (preferred).
  • Case management workflow and orchestration experience to serve as a backbone for cross-functional teams (preferred).

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