As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banks Markets Research Technology team, you will play a crucial role in designing and delivering cutting-edge technology products while ensuring security, stability, and scalability. Your responsibilities include:
Executing software solutions design, development, and technical troubleshooting with a forward-thinking approach
Creating secure and high-quality production code while maintaining algorithms in sync with systems
Producing architecture and design artifacts for complex applications and ensuring design constraints are met
Building the engineering stack for Data and AI/ML products, encompassing data engineering, backend engineering, Cloud infra, DevOps, and MLOps
Designing and implementing data engineering solutions using modern big data technologies
Contributing to software engineering communities of practice and exploring new technologies
Embracing a passion for learning, problem-solving, creative thinking, and a can-do attitude
Qualifications and skills required for this role:
Formal training or certification in software engineering concepts with applied experience
Hands-on experience in system design, application development, testing, and operational stability
Proficiency in coding in languages like Python and developing/debugging code in a corporate environment
Knowledge of the Software Development Life Cycle and experience in system design and architecting microservices and data-intensive applications
Experience with Cloud services, Infrastructure as Code, containerized application development, big data, and modern data engineering technologies
Practical experience in developing Production-scale Cloud-native data engineering solutions
Familiarity with Cloud Data engineering services and MLOps stack
Ability to effectively communicate design choices and results to stakeholders
Preferred qualifications and skills:
Experience with data AWS and AIML engineering in financial settings
Practical experience with Kubernetes, EKS, Docker, and MLOps
Prior exposure to RAG Knowledge Graph Technologies, OpenSearch, and vector databases
Experience collaborating with data scientists
This role requires a Senior IC level of experience. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banks Markets Research Technology team, you will play a crucial role in designing and delivering cutting-edge technology products while ensuring security, stability, and scalability. Your responsibilities include:
Executing software solutions design, development, and technical troubleshooting with a forward-thinking approach
Creating secure and high-quality production code while maintaining algorithms in sync with systems
Producing architecture and design artifacts for complex applications and ensuring design constraints are met
Building the engineering stack for Data and AI/ML products, encompassing data engineering, backend engineering, Cloud infra, DevOps, and MLOps
Designing and implementing data engineering solutions using modern big data technologies
Contributing to software engineering communities of practice and exploring new technologies
Embracing a passion for learning, problem-solving, creative thinking, and a can-do attitude
Qualifications and skills required for this role:
Formal training or certification in software engineering concepts with applied experience
Hands-on experience in system design, application development, testing, and operational stability
Proficiency in coding in languages like Python and developing/debugging code in a corporate environment
Knowledge of the Software Development Life Cycle and experience in system design and architecting microservices and data-intensive applications
Experience with Cloud services, Infrastructure as Code, containerized application development, big data, and modern data engineering technologies
Practical experience in developing Production-scale Cloud-native data engineering solutions
Familiarity with Cloud Data engineering services and MLOps stack
Ability to effectively communicate design choices and results to stakeholders
Preferred qualifications and skills:
Experience with data AWS and AIML engineering in financial settings
Practical experience with Kubernetes, EKS, Docker, and MLOps
Prior exposure to RAG Knowledge Graph Technologies, OpenSearch, and vector databases
Experience collaborating with data scientists
This role requires a Senior IC level of experience.
