We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank, AI/ML Operations team, 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. This team is responsible for supporting data scientists by architecting solutions and designing and developing processes. The team collaborates with data scientists to automate data workflows and determine the appropriate tools and technologies for data sourcing and process execution on platforms such as AWS and Kubernetes.

Job responsibilities

 

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Collaborate with data scientists to automate data processes Identify suitable tools and technologies for data sourcing and process execution Utilize both on-premises Kubernetes and cloud solutions Facilitate data sharing by onboarding relevant teams to the platform Adds to team culture of diversity, equity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 2+ years applied experience  Hands-on practical experience in system design, application development, testing, and operational stability Proficiency in Python and AWS Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

 

 

Preferred qualifications, capabilities, and skills

 

Kubernetes, AWS, Cloud infrastructure Hands on Python programming