Lead Software Engineer – AI-Driven FinTech & Cloud

JPMorgan Chase & Co.

Chicago (IL)

On-site

USD 150,000 - 210,000

Full time

3 days ago

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Job summary

JPMorgan Chase & Co. in Chicago seeks a Lead Software Engineer to advance trusted market-leading technology products within Corporate Technology. You will drive architecture and deliver secure, scalable software across multiple technologies.

Collaborate with UX designers and product owners to translate requirements into intuitive interfaces, mentor teams, and push AI-assisted engineering practices while upholding secure coding and high-quality code delivery.

Qualifications

Formal degree or certification in software engineering with 5+ years of UI development experience using React.
Experience delivering system design, application development, testing, and operational stability.
Strong knowledge of agile methods, CI/CD, application resiliency, and security in SDLC.

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.
Drive architectural decisions for distributed systems including event-driven pipelines, CQRS patterns, and real-time data streaming
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
Collaborate with UX designers and product owners to translate requirements into intuitive UI screens and user flows.
Adds to team culture of diversity, opportunity, inclusion, and respect
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards
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.