Lead Software Engineer - Python Developer

Testing Site - JPMC; Plano (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

JPMorgan Chase in the Enterprise Technology team seeks a Lead Software Engineer to drive secure, scalable tech solutions in an agile setup. You will implement critical technology across multiple domains and contribute as a key technical contributor, delivering trusted products for the firm.

You will lead design reviews, automation efforts, and productionize end-to-end solutions while advancing AI/ML and cloud initiatives within a collaborative, inclusive culture.

Qualifications

• Formally trained in software engineering with 5+ years of applied experience.
• Advanced proficiency in Python and production code delivery.
• Hands-on experience designing, developing, testing, and operating software.
• Automation and continuous delivery experience essential.
• Knowledge of cloud native architectures and security practices.
• Familiarity with AI/ML concepts and practical usage.

Responsibilities

• Executes creative software solutions and tackles complex problems beyond routine work.
• Develops secure production code and reviews colleagues' work.
• Automates remediation to improve operational stability of apps and systems.
• Leads architecture evaluations with vendors and internal teams.
• Champions communities of practice to advance new technologies.
• Contributes to diverse, inclusive team culture.
• Productionizes end-to-end technical solutions with teammates.
• Engages in R&D of innovative, relevant solutions.

Skills

Python programming

CI/CD expertise

Agile methodology

Problem solving

Team leadership

Security awareness

Cloud basics

Operational stability

Research & development

Education

Software engineering degree

BS in Computer Science

Tools

Python

AWS

Docker

Kubernetes

CI/CD pipelines

Job description

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