Lead Software Engineer

JPMorganChase • Plano, TX

6d

About The Position

As a Lead Software Engineer at JPMorganChase within the Corporate Sector – Infrastructure Platforms, you will contribute to an agile team that enhances, builds, and delivers secure, stable, and scalable technology products. As a core technical contributor, you will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. You will develop and troubleshoot software, support operational stability, and help the team effectively and responsibly use approved AI-assisted engineering tools.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages and frameworks; Python and Django are examples.
• Demonstrated experience leading effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, or troubleshooting.
• 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, secure handling of inputs and outputs, and security and resiliency expectations.
• Experience coaching engineers on safe, compliant adoption of AI tools in delivery practices.
• Proficiency across all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• In-depth knowledge of the financial services industry and its IT systems.
• Practical cloud-native experience.

Nice To Haves

• AWS certification(s).
• AI certification(s).

Responsibilities

• Execute software design, development, and technical troubleshooting, using creative approaches to build solutions and break down technical problems.
• Develop secure, high-quality production code, and review and debug code written by others.
• Drive adoption of enterprise-authorized AI-assisted engineering practices, such as code review and refactoring, test strategy acceleration, and incident or root-cause analysis support.
• Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns across the team.
• Apply Software Development Life Cycle toolchain capabilities, including approved AI-assisted development and automation tools, to improve the value realized through automation.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve the operational stability of software applications and systems.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed