Enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable manner for JPMorgan Chase's Corporate Technology division.
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) - Python, Java
- Expert-level experience with AWS or other public cloud providers, as well as Databricks, Snowflake, Airflow, databases, and analytics.
- Demonstrating AWS knowledge, particularly in serverless orchestration and ETL technologies.
- Data Management Utilizing functional technologies such as AWS Lambda, DynamoDB, MongoDB, serverless, and Airflow.
- Handling large amounts of data and managing orchestration, including monitoring calculations, failures, and percentages.
Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Utilizing functional technologies such as AWS Lambda, DynamoDB, MongoDB, serverless, and Airflow.
Other
- Adds to the team culture of diversity, opportunity, inclusion, and respect
- Ability to present and effectively communicate with Senior Leaders and Executives.
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Experience in working on ETL and AI/ML solutions with business stakeholders and data scientists is a plus
- Knowledge of Risk, Finance and Treasury products is advantageous.
