JPMorgan Lead Software Engineer - Data API 

United States, Ohio 

774060272

Job responsibilities

• Regularly develop web applications using Java stack, Spring based web app layer, Interfacing with APIs and database back-ends
• Drives development in SQL
• Working knowledge of Java Script presentation layer
• Build custom dashboards using data aggregation / presentation tools like: Qlik / Grafana / Splunk
• Interact with a variety of data APIs
• 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

Required qualifications, capabilities, and skill

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Operational knowledge of all phases of modern software lifecycle, good awareness of the software security best practices
• Advanced understanding of application design and its impact on availability, resilience and performance of the applications
• Ability to mentor other engineers on efficient software delivery practices
• Good understanding on agile methodology and its tooling
• Ability to work in and across large, collaborative teams to achieve organizational goals
• Prior experience in financials industry and/or branch operations
• Strong interest in investigating technological deficiencies and identifying ways to improve existing solutions
• Passion for improving end Customer Experience using technology
• Knowledge of industry-wide technology trends and best practices
• Strong communication and partnership skills

Preferred qualifications, capabilities, and skills

• Strong knowledge of one or more relational and no-SQL databases
• Understanding of Data security and protection
• Strong knowledge of AWS Cloud environment, certification is preferred
• Ability to write and follow code in python
• Experience in ML based data analytics