Lead Software Engineer - Java, AI and Kafka

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago is seeking a Lead Software Engineer to join the Commercial & Investment Bank - Payment Platform team. You will be a core technical contributor, driving design, development, and delivery of trusted, scalable technology products.

You will lead engineers, shape architecture, and collaborate across business functions to improve operational stability and security. Strong Java, REST, microservices, and cloud experience are essential.

Qualifications

• Formal training or certification on Software Engineering concepts.
• 8+ years of applied software engineering experience.
• Experience leading AI-assisted development tool adoption.
• Strong knowledge of secure coding and resiliency requirements.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Proven proficiency in Java, REST, and microservices.

Responsibilities

• Executes creative software solutions and technical troubleshooting with scalable outcomes.
• Lead and inspire a team of engineers across levels.
• Oversee technical design, architecture, and implementation for high-quality solutions.
• Produce architecture artifacts and ensure design constraints are met.
• Analyze large data sets to support continuous improvement of software.
• Identify opportunities to automate remediation to improve stability.
• Lead evaluation sessions with external vendors and internal teams.
• Drive communities of practice to promote new technologies.
• Promote enterprise AI-assisted engineering practices and secure coding standards.

Skills

Java

REST APIs

Kafka

Spring Boot

Cloud

CI/CD

Microservices

Architecture

AI tooling

Security

Education

Software Eng certification

Tools

Spring Framework

Docker

Kubernetes

Kafka

AWS

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Payment Platform team, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Lead and inspire a team of entry-level to mid-level software engineers, fostering a culture of collaboration, innovation, and excellence
• Oversee technical design, architecture, and implementation to ensure high-quality, scalable solutions
• Produce architecture and design artifacts for complex applications, ensuring that design constraints are met during software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering concepts and 8+ years applied experience
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Proficiency in Java, REST, and microservices, with experience building event-driven microservices and Kafka streaming
• Experience with Spring Framework, Spring Boot, and public or private cloud infrastructure
• Proven record of providing end-user support with excellent problem-solving abilities
  

Preferred qualifications, capabilities, and skills

• Exposure to AI - using python, AI, Copilot in VScode/Intellij
• knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS etc)
• knowledgeabout messaging – Kafka
• knowledge aboutRelational/NoSQL databases