Lead Software Engineer

JPMorgan Chase & Co. • Plano, TX

5d

About The Position

As a Lead Software Engineer at JPMorganChase within the Corporate Sector – Infrastructure Platforms, you will contribute to an agile team that builds and enhances secure, stable, scalable technology products. You will deliver critical technology solutions across technical areas and business functions in support of the firm’s business objectives. The role combines software engineering with infrastructure engineering, project and workstream leadership, operational stability, and responsible adoption of enterprise-authorized AI-assisted engineering practices.

You will lead the use of approved AI-assisted tools and practices within delivery workflows, setting validation standards for correctness, performance, security, resiliency, and auditability. You will work across platforms to architect and implement infrastructure changes, assess technical implications across systems, and help modernize technology and processes. The role requires expertise in Apigee, Python, and cloud infrastructure, including operation in and migration across public and private clouds.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages.
• Experience leading effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, and 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 resiliency and security expectations.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• In-depth knowledge of the financial services industry and its IT systems.
• Deep knowledge of one or more infrastructure engineering areas, such as hardware, networking, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessment.
• Deep knowledge of Apigee infrastructure technology and Python scripting.
• Deep knowledge of cloud infrastructure and multiple cloud technologies, with the ability to operate in and migrate across public and private clouds.

Nice To Haves

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

Responsibilities

• Execute software design, development, and technical troubleshooting, using creative approaches to build solutions and resolve technical problems.
• Develop secure, high-quality production code and review and debug code written by others.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
• Use software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve application and system operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit with existing systems and information architecture.
• Apply technical expertise and problem-solving methods to projects of moderate scope and complexity.
• Use authorized AI capabilities to accelerate infrastructure analysis and design documentation while validating outputs and handling operational data according to sensitivity and security requirements.
• Drive a workstream or project involving infrastructure engineering technologies and collaborate with other platforms to architect and implement changes that resolve issues and modernize technology processes.
• Consider upstream and downstream data, systems, and technical implications and advise on mitigation actions.
• Apply reuse-first, AI-assisted practices to delivery and automation routines; identify recurring issues and validate remediation options while ensuring changes are traceable, auditable, resilient, and secure.
• Review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes meet resiliency, security, and auditability expectations.
• Coach engineers on safe, compliant adoption of AI-assisted engineering practices.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

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