JPMorgan Chase is seeking a Software Developer in Test with specialized skills in data testing and automation to join their Client360 team. The Client360 data platform is a new initiative designed to bring together the firm's data across all lines of business to generate key business insights. The inaugural SDET engineer in a leadership position for Client360 will have the unique opportunity to take ownership of and lead the testing processes, establishing the standards and procedures necessary to develop a high-quality data platform.
Requirements
- Expertise with software development in test automation. Hands-on experience in one of the programming languages: Python or Java
- Experience with test frameworks like pytest, unit test, Code Versioning tools like GIT
- Experience with CI/CD with Jenkins; and integrate AI-based quality gates and observability into CI/CD pipelines like GitHub Co-pilot
- Solid experience in testing SQL procedures and the ability to understand/write complex SQL queries to perform data validation
- Hands-on experience creating and executing test plans, test cases, and test scripts for Database/ETL Workflows
- Experience working with AWS services like S3, EMR, RDS, DynamoDB, Lambda.
- Hands-on experience analyzing data, comparing with mapping documents, and debugging to identify the root cause
Responsibilities
- Develop and execute comprehensive test plans, cases, and scripts to ensure software quality
- Collaborate with cross-functional teams to prioritize testing requirements and achieve thorough test coverage
- Perform manual, automated and regression testing, track issues, and verify bug fixes, to ensure software stability and reliability
- Design and implement test automation frameworks to streamline testing processes
- Analyze and report test results, track defects, and improve testing methodologies
- Demonstrate ability to contribute to design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Other
- Formal training or certification on software engineering concepts and 5+ years applied experience in a banking or finance environment
- Positive attitude and ability to take ownership of releases / features / stories / tasks to deliver with quality
- Familiarity with Databricks and Data Lake
- Postman, Blazemeter or JMeter
- Exposure to cloud technologies
