Lead Software Engineer, Java Full Stack

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

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

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Salary context

How this pay compares to similar roles

Similar $200k
$180k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $184,987–$214,500.

Based on 240 similar postings.

Employer

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 · Lead Software Engineer, Java Full Stack

As a Lead Software Engineer- Java Full Stack within the Commercial and Investment Banking - Digital Identity Team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting creative software solutions while ensuring high-quality production code through rigorous reviews and debugging. Your daily work involves driving team adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed and operational stability. You will evaluate architectural designs with external vendors and internal teams while managing the full software development life cycle. The role requires expertise in Java, RESTful API design, AWS, Kubernetes, and cloud native technologies. Additionally, you will leverage IAM concepts like OAuth and SAML while navigating complex security requirements to build stable, scalable products within the digital identity domain for institutional banking systems.

What you'll do

  • Design, develop, and troubleshoot creative software solutions to solve complex technical problems.
  • Write secure, high-quality production code while reviewing and debugging peer contributions.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices for improved code quality and delivery speed.
  • Establish consistent validation standards for secure coding, peer reviews, and automated testing.
  • Utilize SDLC toolchains and automation capabilities to increase the value of software delivery.
  • Identify and automate the remediation of recurring issues to improve system operational stability.
  • Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages.
  • Knowledge of RESTful API design and development.
  • Knowledge of AWS and Kubernetes with practical cloud native experience.
  • Experience leading the use of approved AI-assisted software development tools while ensuring security and quality standards.
  • Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.

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