JPMorgan Software Engineer III - Full Stack Java/Python & Data 

United States, New Jersey, Jersey City 

889841820

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficient with front-end languages and frameworks (e.g. typescript/react)
• Proficient with server-side languages and frameworks (e.g. Java/SpringBoot)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Knowledge of integration technologies (e.g. GraphQL, REST etc..)
• Hands on experience with Data reporting, BI Tools Tableau, Alteryx
• Hands on experience with Data pipeline, Data Lake technologies Databrick, Spark/Hadoop, Snowflake

Preferred qualifications, capabilities, and skills

• Exposure of designing and deploying applications on AWS
• Practical cloud native experience
• Hands-on exposure to data pipelines/ETL with Spark, on platforms like Databricks and Snowflake