Overview
QA Engineer on the global Digital Experiences team, owning quality of BlackRock's client-facing digital properties (BlackRock.com, iShares.com, Advisor Center) and email marketing channels across the delivery lifecycle, from test planning through execution, automation, and CI/CD integration.
What you'll do
- Understand requirements and Jira stories; create test plans, assess test automation feasibility, and estimate, schedule, and plan testing activities.
- Use AI tools to analyze requirements and user stories, identify gaps or ambiguities early, and propose risk-based test coverage.
- Analyze and understand scenarios and application flows, and prepare test scenarios and test cases for new functionality.
- Prepare test data and manually execute test cases to understand application flows.
- Use AI-assisted tools to generate and refine test scenarios, test cases, and synthetic test data, applying human review to validate accuracy and completeness.
- Execute new functional test cases for the current release, as well as manual and automated regression packs.
- Log defects and retest fixed defects.
- Apply AI to triage test failures, cluster related defects, and draft clear, reproducible defect reports.
- Leverage AI-enabled visual, accessibility, and content checks to catch regressions across pages, markets, and devices.
- Develop test scripts according to the BlackRock framework and perform dry runs of automation scripts.
- Integrate automation with the CI/CD pipeline and complete a full run of automated scripts.
- Use AI coding assistants (e.g., GitHub Copilot) to accelerate test script development, refactoring, and maintenance, including self-healing of brittle locators.
- Help build reusable prompts, agent workflows, and standards that scale AI-assisted QA across the team, and measure their impact on coverage, cycle time, and defect leakage.
- Create and update user manuals.
What you'll need
- 3-7 years of working experience in software testing or QA.
- Technology-based university degree or equivalent experience.
- Proven ability to assure the quality of developed software and code.
- Experience with at least one of the following frameworks: Playwright, Cypress, or Puppeteer.
- Experience with CI/CD environments.
- Experience with Jira/Azure Boards, Confluence, and Git.
- Hands-on experience using AI tools (e.g., GitHub Copilot, ChatGPT, or similar) in testing or development workflows.
- Quality mindset with a development background.
- Analytical mindset with the ability to grasp complex concepts easily.
- Comfortable working in an agile environment, fluent in English.
- Interested in continuously extending testing know-how.
- Curious and pragmatic about AI, applying it to improve quality and speed while exercising sound judgment on AI-generated output.
Nice to have
- Practical knowledge of designing and developing test automation solutions.
- Experience with Azure DevOps.
- Strong hands-on knowledge of TypeScript and Python for test automation, scripting, and framework development.
- Familiarity with AI-native testing tools, Playwright MCP, or agent-based test generation and execution.
- Experience testing AI-powered features (e.g., chatbots or generative content), including evaluation of output accuracy and consistency.
Details
- Location: Mumbai, India.
- Hybrid work model: at least 4 days in the office per week, with the option to work from home 1 day a week.
Read the full description and apply on the company’s own careers page.