Java Lead Software Engineer

JPMorgan Chase & Co.; Columbus (OH); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. in Columbus, OH, seeks a Lead Software Engineer within Asset Wealth Management to build and enhance trusted technology products. You will contribute as a core technical member, delivering secure, scalable solutions while guiding AI-assisted engineering practices across teams.

The role requires hands-on system design, production development, and leadership in Agile environments, focusing on reliability, security, and rapid value delivery to business objectives.

Formación

• Hands-on experience delivering system design, development, testing, and operational stability.
• Advanced capability in one or more programming languages and practical cloud work.
• Experience leading teams using AI-assisted software development tools with quality validation.
• Strong grasp of secure coding, testing strategies, and incident handling.
• Familiarity with agile approaches, CI/CD, and security in delivery workflows.

Responsabilidades

• Develops and troubleshoots secure, high-quality production code across multiple domains.
• Drives adoption of enterprise AI-assisted engineering practices to improve speed and quality.
• Leads architecture discussions and evaluations with vendors and teams to fit information systems.
• Ensures stability, reliability, and scalability of software applications and services.
• Champions secure coding, automated testing, and proper validation of AI outputs.

Conocimientos

Programming languages

AI-assisted tooling

CI/CD

Cloud

Security

Agile

Herramientas

SDLC

Descripción del empleo

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 JPMorgan Chase within the Asset Wealth Management, 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 breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• 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

Required qualifications, capabilities, and skills

• A. Formal training or certification on software engineering concepts and 5+ years applied experience ( NAMR/APAC - India/ LATAM/ Hong Kong)
• B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
• C. Singapore follow local country guidance
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience