Lead Software Engineer, Java, AWS

JPMorgan Chase

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: Palo Alto, CA
Employment: Full-time
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $185k

$135k $227k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,050–$201,600.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Java, AWS

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The Lead Software Engineer - Java, AWS joins an agile team within the Corporate Sector to build and deliver secure, stable, and scalable market-leading technology products. This role involves developing high-quality production code, reviewing and debugging code, and providing technical guidance to teams, contractors, and vendors. The engineer 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. Key responsibilities include influencing product design and technical operations as a subject matter expert. Required technical skills include Java, microservices, Kafka, AWS cloud, and Postgresql. The role requires practical cloud native experience and the ability to manage responsible AI use within engineering workflows, including data sensitivity and security considerations.

Skills

Java Microservices Kafka AWS PostgreSQL Cloud Native AI-assisted Engineering SDLC System Design Automated Testing Secure Coding Root-cause Analysis

What you'll do

Develop secure, high-quality production code and perform code reviews and debugging for other team members.
Provide technical guidance and direction to business teams, contractors, and external vendors.
Drive the adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
Establish measurable validation standards for secure coding, peer reviews, and automated testing.
Influence product design, application functionality, and technical operations through key decision-making.
Serve as a function-wide subject matter expert in specific technical areas of focus.
Advocate for firmwide frameworks, tools, and Software Development Life Cycle practices within the engineering community.
Coach senior engineers on compliant usage patterns for responsible AI in engineering workflows.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced knowledge in Java, microservices, Kafka, AWS cloud, Postgresql, or similar technologies.
Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools for coding, review, and troubleshooting.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
Experience coaching senior engineers and leads on compliant AI usage patterns and controls.
Ability to tackle design and functionality problems independently with little to no oversight.
Practical cloud native experience.
Experience with Banking (preferred).
AWS Certification (preferred).

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