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  Consumer and Community Banking- Data technology 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.

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 Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance. Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance. Maintain consistent code check-ins every sprint to ensure continuous integration and development. Executes using Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases ,LLM fine tuning and multi agent orchestration. Communicate technical concepts and solutions effectively across all levels of the organization.

 

 

Required Qualifications, Capabilities, and Skills

Formal training or certification on software engineering concepts and 2+ years applied experience Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB. Hands-on experience in DataBricks ML lifecycle development. Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance. Real-time model serving experience with Seldon

 

Preferred qualifications, capabilities, and skills

 

Ray Or AWS SM  is a plus.