Job Description
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 Lead Software Engineer at JPMorgan Chase within the Consumer & 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
- Executes 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 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 5+ years applied experience
- Extensive practical experience with Python and 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.
