Software Engineer III
JPMorganChase
Bengaluru, Karnataka, India2+ yrs4h agovia LinkedIn
About the Role
As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking- Data Technology, you are part of an agile team that works to enhance, design, and deliver software components of the firm's technology products in a secure, stable, and scalable way. You will execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system.
Key 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.
- Adopts best practices in software engineering, machine learning operations (MLOps), and data governance.
- Maintains consistent code check-ins every sprint to ensure continuous integration and development.
- Executes using Platform engineering to enable the Gen AI platform and develop Gen AI Use cases, LLM fine tuning, and multi-agent orchestration.
- Communicates technical concepts and solutions effectively across all levels of the organization.
Requirements & Tech Stack
- Python
- AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
- Software Development Life Cycle tools.
- AI/ML platform enablement.
- Gen AI platform enablement.
- LLM fine tuning.
- Multi-agent orchestration.
Qualifications
- Formal training or certification on software engineering concepts and 2+ years applied experience.
- Extensive practical experience with Python and AWS cloud services.
- Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.