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We are seeking talented, self-motivated and experienced Quality Engineering (QE) lead to drive end-to-end quality assurance initiatives. In this role, you will be a key member of the Quality Assurance team  with focus on test strategy, test plan, test automation, test tools, AI-driven testing methodologies, CI/CD integration, enterprise grade system validation and release management for leading edge security products on API Management & Observability used by many of the world’s largest companies. 

Educational Qualifications:

• B.Tech/B.E/M.Tech/M.E (Experience : 15+ years)
   

  
  

What makes you a strong fit 

AI Expertise:

• You are an expert in using AI Code assist tools (Claude/Cursor etc) as Coworkers and not as prompt engineers.

  
  

• Good understanding of AI Spec driven development methodologies like Plan/BMAD mode etc and use it thoroughly, to map out and implement all phases of SDLC.

  
  

• Understand Context Engineering & Token Optimization techniques and create/maintain reusable skills, contexts across multiple teams and repos.

  
  

• Understand Agent Orchestration, manage multi-agent workflows to handle complex, multi-step engineering tasks like new capabilities, codebase refactoring, upgrades, and vulnerability patching.

  
  

• Code Review & Quality Control: Critically review AI-generated code for architectural alignment, design, and performance bottlenecks.

  
  

Required Skills:

• Seasoned in Test Automation frameworks like Playwright, Selenium, TestNG

  
  

• Experience with REST API Testing

  
  

• Experienced in Cloud & Virtual Appliance Test Execution Platforms 

  
  

• Exposed to CI/CD Integration with Jenkins

  
  

• Experienced with automated Integration Testing & System Validation

  
  

• Experienced in Test data generation, Data Validation & Reconciliation Testing

  
  

• Experience in managing Product release hardening & rollout

  
  

• Expertise in AI-assisted tools for quality engineering solutions

  
  

• Proven experience in leading Agile QA Test & Automation strategy

  
  

• Expertise in working with project management tools Ex. JIRA/Rally & Test Management Tools Ex.Testrail/qTest or similar

  
  

• Experience in defect management, reporting, and quality governance.

  
  

Key Responsibilities:

• Lead quality engineering responsibilities  for enterprise grade software products in Agile delivery teams.

  
  

• Drive test strategy, planning, execution, tools, automation, and release readiness activities

  
  

• Implement AI-driven testing approaches for test & data generation,  prioritization, defect analysis, and quality insights.

  
  

• Monitor/govern the test automation that includes API testing, Playwright, Selenium, TestNG, Java, and REST APIs.

  
  

• Manage test execution on cloud-based and virtual appliance platforms 

  
  

• Validate complex system integrations, enterprise data flows, and downstream business impacts.

  
  

• Integrate testing into CI/CD pipelines and establish continuous quality gates.

  
  

• Monitor quality metrics, risks, defect trends, and production readiness.

  
  

• Collaborate with Product, Development, and Business stakeholders to ensure comprehensive test coverage.

  
  

• Conduct root cause analysis (RCA) and drive continuous quality improvements.

  
  

Broadcom is proud to be an equal opportunity employer.  We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law.  We will also consider qualified applicants with arrest and conviction records consistent with local law.

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