Lead Python Developer

We have an opportunity to impactyour career and provide an adventure where you can push the limits ofwhat'spossible.

As a Lead Software Engineer at JPMorgan Chase within the Enterprise Technology team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

Job 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

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

Adds to team culture of diversity, opportunity, inclusion, and respect

Developing automatedsolutions to address impactful business needs,

Working with other team members to productionize end-to-endtechnicalsolutions,

Engaging in research and development of innovative relevant solutions,

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

Advancedproficiencyin one or more programming languages, including Python.

Hands-on practical experience delivering system design, application development, testing, and operational stability

Proficiencyin automation and continuous delivery methods

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstratedproficiencyin software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Practical cloud native experience

Solid coding levelinPython, with experience inleveragingavailable librariesto dedicated projects.

Knowledge of AI/ML

Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.

Preferred qualifications, capabilities, and skills

In-depth knowledge of the financial services industry and their IT systems

Proficient in all aspects of the Software Development Life Cycle

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