We are seeking an experienced Manager II (M2) Software Automation Engineer to lead the design, implementation, and adoption of next-generation Quality Engineering solutions powered by Agentic AI, intelligent automation, and modern software testing practices. This role combines deep technical expertise with leadership responsibilities to modernize testing strategies, drive AI-assisted automation, and mentor engineering teams in building scalable, resilient, and intelligent quality solutions.
The ideal candidate has extensive experience in automation frameworks, cloud-native applications, AI/LLM technologies, and software engineering while leading cross-functional teams in delivering high-quality enterprise software.
Key Responsibilities
Technical Leadership
- Lead the architecture, design, and implementation of enterprise automation frameworks using up-to-date technologies.
- Drive adoption of Agentic AI solutions for autonomous test generation, maintenance, defect triage, root cause analysis, and release validation.
- Establish engineering standards, best practices,
and governance for automation and AI-assisted testing.
- Design scalable CI/CD quality gates supporting continuous delivery.
- Develop and implement comprehensive test strategies.
- Lead framework modernization initiatives from legacy automation to AI-powered solutions.
- Oversee the execution of automated and manual testing and generate traceable reporting.
- Prepare and present quality reports to senior management
- Collaborate with cross-functional teams to improve product quality.
- Define and monitor quality metrics and key performance indicators.
- Conduct performance reviews and provide career development opportunities.
Agentic AI & Intelligent Automation
- Design and implement AI agents for:
- Automated test case generation
- Self-healing test automation
- Intelligent regression selection
- Failure analysis
- Root cause identification
- Requirement-to-test traceability
- Defect summarization
- Test