Lead Software Engineer, Java, Kafka

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Tampa, FL
Posted: 8 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 $197k

$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $183,000–$211,200.

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 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, Kafka

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As a Java Lead Software Engineer - Kafka, you will join an agile team within the Commercial & Investment Bank to build and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will serve as a core technical contributor responsible for designing, developing, and troubleshooting complex software solutions while leading and inspiring a team of engineers. Your daily work involves creating architecture artifacts, automating recurring issues, and leading communities of practice to adopt cutting-edge technologies like AI-assisted engineering practices. The role requires expertise in Java, REST, microservices, Spring Framework, Spring Boot, and Kafka streaming. You will also utilize tools within the Software Development Life Cycle, including CI/CD, containerization platforms like Docker or Kubernetes, and various relational or NoSQL databases to solve technical problems across diverse business functions.

Skills

Java REST Microservices Kafka Spring Framework Spring Boot Python Docker Kubernetes ECS CI/CD Agile Machine Learning Artificial Intelligence NoSQL Software Development Life Cycle VScode

What you'll do

Develop, design, and troubleshoot creative software solutions for complex technical problems.
Lead and mentor a team of entry-level to mid-level software engineers.
Oversee technical architecture and produce design artifacts for scalable applications.
Analyze large datasets to create visualizations and reports for system improvement.
Automate the remediation of recurring issues to improve operational stability.
Evaluate external vendors and internal technologies to ensure architectural compatibility.
Lead communities of practice to promote the adoption of leading-edge technologies.
Drive team adoption of enterprise-authorized AI-assisted engineering practices and tools.

What we're looking for

Formal training or certification in Software Engineering concepts.
5+ years of applied experience in software engineering.
Demonstrated experience leading the use of approved AI-assisted software development tools and establishing validation standards.
Strong understanding of responsible AI use, including data sensitivity and secure handling within engineering workflows.
Hands-on experience in system design, application development, testing, and operational stability.
Proficiency in all aspects of the Software Development Life Cycle (SDLC).
Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.
Proficiency in Java, REST, microservices, Spring Framework, Spring Boot, and Kafka streaming.

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