Software Engineer III

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Consumer & Community Banking , you serve as a seasoned member of an agile team to ensure trusted market-leading technology products are delivered with high quality in a secure, stable, and scalable way. You are responsible for driving quality engineering practices across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
Executes quality engineering solutions including API and data-side test design, automation development, and technical troubleshooting across public cloud and on-premises environments, with the ability to think beyond routine approaches to validate complex integrations and break down end-to-end defects
Creates secure and high-quality automated API and data validation tests, and maintains reliable test frameworks, utilities, and test data pipelines that run synchronously with appropriate systems (CI/CD, services, databases, and cloud/on-prem platforms)
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.
Produces test architecture and quality design artifacts for complex applications (e.g., test strategy, automation architecture, service/API contract validation approach, environment and test data design) while being accountable for ensuring quality constraints and non-functional requirements are met through effective validation and automation
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse quality and operational data sets (e.g., test execution results, defect trends, coverage, performance metrics, production signals) in service of continuous improvement of software quality, reliability, and delivery outcomes
Proactively identifies hidden problems and patterns in defects, test results, and data flows and uses these insights to drive improvements to test coverage, automation stability, data integrity checks, and system architecture in partnership with engineering teams
Required qualifications, capabilities, and skills
A. Formal training or certification on quality/software engineering concepts and 6+ years applied experience in Quality Engineering / Software Testing
• Hands-on practical experience in test strategy and test automation for distributed systems, including API testing and data validation, with strong exposure to operational stability/production support across public cloud and on-premises environments
• Experience developing, debugging, and maintaining test automation and supporting utilities in a large corporate environment using one or more modern programming languages and database querying languages (SQL)
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.
Overall knowledge of the Software Development Life Cycle and Software Testing Life Cycle, with the ability to embed quality practices throughout design, build, test, and release phases
• Solid understanding of agile methodologies and modern delivery practices such as CI/CD, Application Resiliency, and Security, including implementing automated quality gates and validation checks within pipelines
Preferred qualifications, capabilities, and skills
Strong hands-on experience testing Java-based applications (Spring/Spring Boot, RESTful services) including API contract validation, integration testing, and end-to-end test automation
Proficiency with Java test frameworks and tooling (e.g., JUnit/TestNG, Mockito, REST-assured, Selenium/Cypress/Playwright as applicable) and building reusable automation libraries
Strong database testing experience with one or more RDBMS (e.g., Oracle, PostgreSQL, MySQL, MS SQL Server), including writing complex SQL for data validation, reconciliation, and troubleshooting
Experience validating data pipelines and data flows (ETL/ELT), including schema checks, data quality rules, and lineage/transform verification
Familiarity with messaging and integration patterns (e.g., Kafka, MQ) and validating event-driven workflows and downstream data persistence
Experience working across public cloud and on-premises environments; familiarity with cloud-native testing considerations (ephemeral environments, containerized deployments, service virtualization/mocking)