Lead Software Engineer - AI/ML, Selenium, Java
JPMorgan Chase2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Own end-to-end QA delivery for programs and releases, including scope, plans, milestones, dependencies, RAID management, and executive reporting.
- Build and mentor QA teams through coaching, goal setting, and capability development.
- Define and maintain test strategy and architecture across functional, regression, integration, API, UI, performance, and data-validation testing.
- Establish quality engineering standards covering test design, automation coding, frameworks, branching, test data, environments, documentation, and auditability.
- Lead automation roadmaps, framework evolution, tooling selection, CI/CD integration, design reviews, maintainability, flakiness reduction, service virtualization, mocking, and contract testing.
- Implement governed AI-assisted quality engineering practices for requirements analysis, test planning, coverage optimization, failure analytics, defect triage, code review, refactoring, and troubleshooting.
- Own quality metrics such as defect leakage, automation coverage, execution health, flakiness, cycle time, and escape rate.
- Govern test data, environment stability, defect management, triage, root-cause analysis, preventive actions, release readiness, sign-offs, and rollback planning.
- Drive adoption of secure, traceable, and compliant AI-assisted engineering practices across teams.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Ability to write automated tests in Java, TypeScript, or Python using Playwright and Selenium.
- Expertise in at least one of Java, Python, or TypeScript and working knowledge of AI-assisted testing and QA analytics concepts.
- Expertise with JIRA and ALM tools such as QTEST, plus working knowledge of databases.
- Knowledge of integrating automation frameworks with CI/CD tools such as Jenkins.
- Understanding of defect and data-management tools, object repositories, and XPath.
- Advanced knowledge of software lifecycles, including Waterfall and Agile, and test automation strategies.
- Experience leading test strategy, delivery governance, and technical direction across multiple teams or workstreams.
- Experience leading approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Preferred knowledge of AI, machine learning, data science, NLP, cloud computing, or banking.
- Preferred experience with UFT, TOSCA, or UIPATH.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.