Software Engineer III GluePythonPyspark

Push the limits of whats possible with us as an experienced member of our Software Engineering team.

As a Software Engineer at JPMorganChase within the Corporate Technology Employee Platforms team you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Participates in design and develop scalable and resilient systems using AWS ETL to contribute to continual iterative improvements for product teams
• Executes software solutions design development and technical troubleshooting
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality delivery speed and productivity across complex deliverables (e.g. code generation/refactoring unit test creation documentation) while validating outputs through peer review automated testing and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while 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
• 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 opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification onsoftware engineering concepts and 3 years applied experience
• Hands-on practical experience in system design application development testing and operational stability
• Proficient in coding in Glue EMR
• Proficient in SQL/NoSQL databases
• Exposure to AWS cloud technologies
• Understanding of agile methodologies such as CI/CD Application Resiliency and Security
• Proficient in application development skills for more than one Cloud and Traditional Data Engineering technology including AWS Services like Glue EMR data warehouse.
• Recent experience developing data ingestion from on premise applications to private cloud AWS using related services like S3 Lambda SQS Event Bridge Glue/Glue Studio/Glue workflows/Glue Data Catalogue Cloud watch Aurora MySQL/PostgreSQL databases and EMR with Python /Pyspark
• Experience in comprehensive analysis and design experience with demonstrated knowledge of RDMS systems like Oracle good in writing and understanding SQL PL/SQL constructs.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding test creation troubleshooting or documentation) with demonstrated ability to critically evaluate validate and refine AI-generated outputs for correctness performance and security.
• Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications capabilities and skills

• Working proficiency in a selection of software engineering disciplines and demonstrates understanding of overall software skills including business analysis development testing deployment maintenance and improvement of software.
• Experience in working with streaming services like Kafka/AWS MSK/Confluent Kafka or equivalent services.
• Has knowledge in CI/CD process in AWS Cloud environments has hands on experience on any of the Infrastructure as Code service (Iac) like Terraform Cloud Formation etc.
• Has knowledge in QuickSight Sigma Knowledge Graphs GraphDB
• Knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence etc.)