Lead Software Engineer, Python/ Java/ AWS

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 36 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$187k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$211,200.

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, Python/ Java/ AWS

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As a Lead Software Engineer within Asset and Wealth Management Advisor & Investment Technology, you will serve as a hands-on technical developer responsible for designing, building, and operating critical technology solutions. You will contribute to production code, mentor team members, and drive reliability, security, and operational excellence across the software lifecycle. Your daily work involves developing secure high-quality code, troubleshooting complex problems, and leading the adoption of enterprise-authorized AI-assisted engineering practices to improve delivery outcomes. The role requires expertise in Python, Java, and AWS to build cloud-native applications using microservices, REST APIs, event-driven design, and NoSQL data stores. You will utilize CI/CD and DevOps toolchains within agile models while ensuring application resiliency. Technical requirements include experience with OpenAPI/Swagger documentation, test-driven development, and managing the integration of AI tools for code review and automated testing.

Skills

Microservices REST APIs Event-driven Design NoSQL AWS Cloud-native CI/CD DevOps Agile OpenAPI Swagger Microsoft Copilot AI-assisted Engineering

What you'll do

Design, develop, and troubleshoot complex software solutions beyond conventional approaches.
Write, review, and debug high-quality production code for critical systems.
Integrate enterprise-authorized AI tools to improve code quality, delivery speed, and testing.
Automate the remediation of recurring issues to enhance operational stability.
Lead technical evaluations with vendors and internal teams to assess architectural designs and applicability.
Implement cloud-native architectures using microservices, REST APIs, and event-driven designs.
Manage the full software development lifecycle including CI/CD pipelines and test-driven development.
Establish validation standards for AI-generated outputs regarding security, performance, and correctness.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied software engineering experience.
Strong knowledge of modern architectures including microservices, REST APIs, event-driven design, and NoSQL data stores.
Experience building cloud-native applications and services with working knowledge of AWS or a comparable platform.
Demonstrated experience delivering at least two large, complex applications end-to-end from initial build through production delivery.
Working knowledge of CI/CD and DevOps toolchains, observability practices, and test-driven approaches within agile models.
Experience leading the use of approved AI-assisted development tools while ensuring security, performance, and validation standards.
Advanced understanding of application resiliency and security principles and technical documentation skills like OpenAPI/Swagger.
Experience designing high-availability architectures and driving engineering process improvements (preferred).

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