Lead Software Engineer - Java/DevOps/AWS

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer to join the Asset and Wealth Management Technology & Operations team.

You will be a core technical contributor delivering trusted, scalable products and driving AI-assisted engineering practices across the SDLC. Responsibilities include leading design discussions, optimizing automation and deployment, ensuring security and resiliency, and mentoring teams in modern engineering methods.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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 adoption within delivery practices.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced expertise in Java, SpringBoot, Reactor.io framework
• Proficient in distributed microservices and event driven architecture constructs
• Proficiency in automation and continuous delivery methods
• 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 (cloud, AI, ML, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting across complex problems.
• Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while standardizing validation.
• Applies SDLC tools and AI-assisted development and automation capabilities to improve automation value.
• Develops secure high-quality production code and conducts reviews and debugging.
• Identifies opportunities to automate recurring remediation to improve stability.
• Leads evaluation sessions with external vendors and internal teams on architectural designs and tech applicability.
• Leads communities of practice to promote new technologies.
• Contributes to team culture with diversity, inclusion, and respect.

Skills

Java

SpringBoot

Reactor.io framework

Distributed microservices

Event-driven architecture

Automation

CI/CD

Secure coding

Cloud native

Responsible AI in engineering

Tools

Spring ecosystem

AWS cloud services

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 Asset and Wealth Management - Asset and Wealth Management Technology & Operations team, you are 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
• 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.
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ 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
• Advanced expertise in Java, SpringBoot, Reactor.io framework
• Proficient in distributed microservices and event driven architecture constructs
• Proficiency in automation and continuous delivery methods
• 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.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience with the Spring ecosystem and AWS cloud services.
• Familiarity with trading systems; exposure to the FIX protocol is a plus.
• Ability to solve complex, mission-critical problems with a pragmatic, hands-on approach.
• Continuous learner and early adopter of emerging technologies and methodologies.