Python Software Engineer II

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Corporate Sector - Applied Innovation team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way.

As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within JP Morgan Chase.

AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.

The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow.

We are looking for excellent full stack software engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients.

In this role, you will be working with other engineers & research scientists in building & maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production

Job responsibilities



* Executes standard software solutions, design, development, and technical troubleshooting


* Writes secure and high-quality code using the syntax of at least one programming language with limited guidance


* Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications


* Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation


* Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity


* Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development


* Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems


* Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills



* Formal training or certification on relevant job skill concepts and 2+ years applied experience


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


* Experi...