Software Engineer III - Glue/Python/Pyspark
Listed on 2026-07-17
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Software Development
Cloud Engineer - Software, Software Engineer, DevOps, Backend Developer
Software Engineer
Push the limits of what's possible with us as an experienced member of our Software Engineering team.
As a Software Engineer at JPMorgan Chase 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/No
SQL 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 Quick Sight, Sigma, Knowledge Graphs, GraphDB
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, etc.)
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial…
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