Lead Software Engineering - Python

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way.

As a Lead Software Engineer at JPMorganChase within Infrastructure Platforms, you will make a significant business impact through your skills and contributions, applying technical expertise and problem-solving methodologies to address a diverse array of challenges across multiple technologies and applications.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.

• Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.

• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.

• 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 communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies • Adds to team culture of diversity, opportunity, inclusion, and respect.

• Design and build solutions that avoid single points of failure using scalable architectural patterns.

• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.-

-Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

-Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.

• Proficiency in back-end technologies (e.g., Python, Flask, Django) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).

• Hands-on development experie...