Lead Software Engineer, Java, Microservices, AWS, AI

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Wilmington, DE
Posted: 16 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, Java, Microservices, AWS, AI

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As a Lead Software Engineer - Java/Microservices/AWS/AI within the Digital Utilities 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. A primary focus involves driving the adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed, code quality, 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, Springboot, Microservices, API, Kafka, Cassandra, AWS, and AI tools. You must navigate complex financial services IT systems using cloud-native practices, CI/CD, and application resiliency to solve technical problems within a secure, stable, and scalable infrastructure for the firm's business objectives.

Skills

Java Springboot Microservices AWS AI Kafka Cassandra API CI/CD Agile Cloud Native Automated Testing System Design

What you'll do

Design, develop, and troubleshoot creative software solutions for 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 to improve delivery speed and quality.
Establish validation standards for AI-generated outputs including security, performance, and accuracy.
Automate the remediation of recurring issues to improve overall system operational stability.
Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
Integrate automation capabilities within the Software Development Life Cycle toolchain to increase value.

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 Java, Springboot, Microservices, API, Kafka, Cassandra, AWS, and AI.
Demonstrated experience leading the use of approved AI-assisted software development tools for coding, review, and troubleshooting.
Strong understanding of responsible AI use, including data sensitivity and secure handling within engineering workflows.
Proficiency in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, CI/CD, application resiliency, security, and cloud native technologies.

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