Senior Lead Software Engineer

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $167k
$109k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,350–$185,500.

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 1214 open roles on FindRole.

Listed pay typically runs $166,250–$237,500 across 6 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer

As a Senior Lead Software Engineer within the Commercial and Investment Bank Payments Technology team, you will join an agile team focused on delivering secure, stable, and scalable market-leading technology products. Your daily responsibilities include developing high-quality production code, reviewing and debugging peer code, and providing technical guidance to business teams, contractors, and vendors. You will drive the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing validation standards for secure coding and automated testing. You must possess expertise in Python, Java, distributed systems, microservices, and platform architecture. The role requires practical cloud-native experience and the ability to manage responsible AI use within engineering workflows, including data sensitivity and resiliency. You will also leverage tools like Spark and Airflow.

What you'll do

  • Develop secure, high-quality production code in Python or Java.
  • Review and debug code written by other team members.
  • Provide technical guidance to business teams, contractors, and vendors.
  • Drive the adoption and governance of approved AI-assisted engineering practices.
  • Establish measurable validation standards for secure coding, peer review, and automated testing.
  • Influence product design, application functionality, and technical operations processes.
  • Serve as a subject matter expert on firmwide frameworks and SDLC tools.
  • Coach senior engineers on compliant and secure usage patterns for AI tools.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Experience delivering secure, production-quality code in Python or Java.
  • Strong foundations in distributed systems, microservices, and platform architecture/design principles.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and validating AI outputs.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
  • Ability to tackle design and functionality problems independently with little to no oversight.
  • Practical cloud native experience.
  • Understanding of statistical models, GenAI concepts, agentic systems, and ML tools like Spark and Airflow (preferred).

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