Job Description
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 CCB RISK TECHNOLOGY, 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. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Execute software solutions, design, development, and troubleshooting by thinking beyond conventional approaches.
- Collaborate with product managers, data scientists, and ML engineers to understand requirements and develop scalable APIs/services for model deployment.
- Build applications to automate MLOps pipeline steps and stay informed on LLM/GenAI advancements to implement cutting-edge techniques.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Accumulate 5+ years of technical experience in building software.
- Develop strong programming skills, preferably in Python.
- Utilize public cloud platforms such as AWS, Azure, or GCP.
- Build APIs and RESTful services using Flask, Django, or FastAPI.
- Apply Agile methodologies, including CI/CD, in software development.
- Gain knowledge of software applications and technical processes in disciplines like cloud, AI, ML, or mobile.
- Understand fundamentals of machine learning and large language models (LLMs).
- Collaborate effectively with cross-functional teams to communicate complex concepts.
- Contribute to interdisciplinary projects with strong collaboration skills.
- Deploy business-critical machine learning models in production environments.
Preferred qualifications, capabilities, and skills
- Experience in microservices design, implementation
- Familiarity with the financial services industries
- Experience with BigData Datastores,containerization technologies (e.g., Docker and Kubernetes)
