Software Engineer III - Python / AI

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorganChase, we believe in investing in our people — offering you the tools, mentorship, and environment to grow, innovate, and make a real impact. You'll be part of a culture that values diversity, inclusion, and continuous learning, where your contributions directly shape the technology that serves millions of customers worldwide.

As a Software Engineer III at JPMorganChase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role, you will collaborate across teams to solve complex technical challenges, contribute to engineering communities of practice, and help drive a culture of excellence and innovation. objectives.

Job responsibilities

• Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex problems and build scalable solutions
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software code development lifecycle
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Foster a team culture of diversity, opportunity, inclusion, and respect
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in coding in one or more programming languages
• Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages
• Solid understanding of the Software Development Life Cycle
• Working knowledge of agile methodologies such as continuous integration/continuous delivery, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.)
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies such as Amazon Web Services or equivalent cloud platforms
• Experience with Databricks and agentic AI solutions
• Familiarity with modern front-end technologies and frameworks
• Experience working in a large enterprise environment with cross-functional engineering teams