Build & Innovate – Design, develop, and maintain production-grade automation frameworks and tools that raise engineering efficiency and product quality.
Lead by Example – Provide architectural direction, set coding standards, and remain hands-on in code contributions.
Collaborate & Influence – Partner with cross-functional teams to solve complex quality challenges and drive org-wide improvements.
Transform QA – Identify process gaps, integrate new technologies, and lead the adoption of modern automation practices.
Mentor & Grow – Coach junior engineers, run knowledge-sharing sessions, and elevate QA capabilities across teams.
Measure Impact – Use KPIs and data-driven insights to track progress and continuously improve quality strategies.
Shape the Future – Align automation initiatives with customer experience, ensuring testing directly enhances product usability.
What You Bring:
8+ years in Quality Engineering or Software Development with strong test automation expertise.
Minimum 7-8 years of software engineering experience is required.
Proven software engineering skills, with Python expertise (plus bonus points for Java, JavaScript, or others).
Proficiency in Java, Python, and JavaScript programming languages is required.
Experience architecting and scaling automation frameworks, integrated into CI/CD and modern DevOps.
Minimum 5+ years of automation testing experience is required.
A track record of both strategic influence and hands-on technical impact.
Strong leadership in mentoring, coaching, and guiding QA practices across teams.
Bonus Skills (AI/ML):
Experience building AI-powered workflows (e.g., RAG, LangChain, MCPs).
Hands-on with modern ML/AI libraries and MLOps practices.
Applying AI in QA contexts—like intelligent test generation or anomaly detection.
Awareness of ethical AI practices (bias, explainability, governance).
