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 contemporary 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 data generation
Risk-based testing
Integr