Software Engineer III - Java, AWS, Spark

Job summary

As a Software Engineer III at JPMorgan Chase within Corporate Technology, you will design and deliver trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across various technical domains to support the firms business objectives. .

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to improve software applications and systems
• Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience in software development with Java, Spring Boot, Python, and cloud technologies
• Hands-on experience in system design, application development, testing, and operational stability
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
• Experience designing and building enterprise-scale, high-volume Oracle data processing applications using PL/SQL, Java Stored Procedures, and triggers
• Overall knowledge of the Software Development Life Cycle and agile methodologies such as CI/CD, resiliency, and security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile)

Preferred qualifications, capabilities, and skills

• Knowledge of machine learning and data science concepts and packages in Python (sklearn, Numpy, Pandas)
• Experience building ML models and data science applications for various use cases
• Experience with graph databases such as GraphDB or Neo4j
• Familiarity with modern front-end technologies