Lead Quality Automation Engineer - ( Gen - AI Practice)
- BMC Software
- 8 - 13 years
- Pune
- 7 months ago
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Job Description
We seek an experienced Lead Quality Engineer to establish and drive the quality strategy for our Generative AI practice. This role will ensure quality across our AI-powered solutions and custom-built enterprise applications, focusing on end-to-end testing of integrated systems.
Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
1- Strategic Leadership
- Lead quality strategy for AI and AI-driven custom applications
- Establish testing standards and frameworks
- Drive continuous improvement in testing practices
- Build and mentor a quality engineering team
- Collaborate with cross-functional teams
2- Technical Quality Management
- Design comprehensive test strategies for full-stack applications
- Establish quality metrics and acceptance criteria
- Lead implementation of automated testing solutions
- Ensure security and performance testing coverage
- Drive quality gates and metrics implementation
3- Key Competencies:
- Technical Leadership
- Testing strategy development
- Framework architecture
- Quality metrics definition
- Team mentoring
- Process improvement
This role requires someone who can balance technical expertise with strategic leadership, ensuring quality across AI implementations and custom applications while building a strong quality engineering practice.
1- Core Technical Expertise (Must Have)
- Modern Testing Frameworks & Tools
Python testing (pytest, unittest)
JavaScript/TypeScript testing
API automation (Postman, RestAssured)
UI testing (Selenium, Cypress)
Performance testing (JMeter, K6)
CI/CD integration (Jenkins, GitHub, BitBucket)
- Cloud & Infrastructure Testing:
AWS services (EKS, RDS, Bedrock)
Kubernetes deployments
Microservices architecture
Database testing (PostgreSQL)
Authentication systems (OKTA)
- AI/ML Testing Expertise:
LLM integration testing
Prompt engineering validation
Model output verification
Vector database testing
Custom AI workflow validation
2- Domain Knowledge
- Enterprise application testing
- Business process validation
- Integration testing patterns
- Security testing principles
- Performance optimization
- Data integrity validation
Required Experience:
- 8+ years in quality engineering
- 3+ years in leadership roles
- Strong background in enterprise applications
- Experience with AI/ML systems
- Cloud-native application testing
- Excellent Communication skills.
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Automation Test EngineerEmployement Type: Full timeContact Details:
Company: BMC SoftwareLocation(s): Pune+ View Contact
Keyskills: quality engineering Cypress Security testing Quality Management Automation Engineering Selenium application testing Python
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