Lead Software Engineer: Frontend Development

JPMorganChase•Palo Alto, CA

About The Position

As a Lead Software Engineer in Frontend Development at JPMorganChase within Infrastructure Platforms (IP), you will develop creative software solutions and help shape technical approaches to complex problems. You will deliver secure, high-quality production code, support operational stability, and advance the team's use of approved AI-assisted engineering practices. The role also involves evaluating technical solutions with vendors and internal teams and promoting the adoption of emerging technologies across Software Engineering.

Requirements

Formal training or certification in software engineering concepts and 5 or more years of applied experience.
Strong full-stack experience with Python (mandatory), Django, Java, JavaScript, Node, Next.js, and SQL.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
Experience coaching engineers on safe, compliant adoption of AI-assisted practices.
Hands-on experience delivering system design, application development, testing, and operational stability.
Proficiency in automation and continuous delivery methods.
Advanced understanding of agile methodologies, including CI/CD pipelines, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile.
Experience leading effective use of approved AI-assisted software development tools, with the ability to set expectations for validating outputs for correctness, performance, and security.
Practical cloud-native experience.

Nice To Haves

Experience with infrastructure-as-code or cloud deployment automation.
Experience with performance tuning, resiliency testing, monitoring, logging, and alerting.
Experience in highly controlled or regulated technology environments.
Experience with security, identity, access, fraud, trust, risk, or customer protection platforms.
Experience with BI tooling such as Tableau.
Experience with Alteryx.

Responsibilities

Design, develop, and troubleshoot software, applying creative approaches to build solutions and resolve technical problems.
Develop secure, high-quality production code and review and debug code written by others.
Identify opportunities to eliminate or automate recurring issues to improve the operational stability of applications and systems.
Lead adoption of enterprise-authorized AI-assisted engineering practices, establishing validation standards for security, peer review, and automated testing and promoting reuse of effective patterns.
Use Software Development Life Cycle tools, including approved AI-assisted development and automation capabilities, to improve the value of automation.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical credentials, and applicability to existing systems and information architecture.
Lead Software Engineering communities of practice to raise awareness and adoption of new and leading-edge technologies.

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