Push the limits of what’s 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 firm’s 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 on software 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.)