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. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Requirements

Must-haves

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
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
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 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.
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
Experience with the Spring ecosystem and AWS cloud services.
Ability to solve complex, mission-critical problems with a pragmatic, hands-on approach.
Continuous learner and early adopter of emerging technologies and methodologies.
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Nice-to-haves

Preferred qualifications, capabilities, and skills:
Familiarity with trading systems; exposure to the FIX protocol is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileaijavaci/cdmachine learningaws

Platform: oracle-cloud
Effort: medium