🛠 Tech Stack

💼 About This Role

You'll architect and lead AI-augmented quality engineering for a global SaaS leader. You will own automation, performance, and AI-driven quality initiatives, disrupting legacy testing paradigms. This role offers the chance to embed AI-quality thinking into every stage of the SDLC and build high-performing teams at scale.

🎯 What You'll Do

• Define and lead all AI-augmented quality initiatives across the organization
• Own the full automation strategy across UI, API, and integration layers
• Lead performance and load testing strategy at enterprise scale
• Lead and grow teams of automation engineers, performance engineers, and architects

📋 Requirements

• 12+ years in software engineering or QA with 5+ years in engineering leadership at Director or senior Staff+ level
• Deep hands-on background in test automation architecture
• Proven track record leading performance engineering at scale (10,000+ concurrent users)
• Experience shipping or operating AI/ML systems with understanding of quality challenges

✨ Nice to Have

• Enterprise software domain experience (SaaS, CCaaS, fintech)
• Working knowledge of LLM capabilities and agentic workflows for testing
• Proficient in Python, TypeScript, or Java

🎁 Benefits & Perks

• 🏖️ Flexible hybrid model (2 days office / 3 days remote)
• 📈 Career growth opportunities across multiple domains and locations
• 🌍 Global impact working with Fortune 100 clients
• 🤝 Collaborative environment with cross-functional team

📨 Hiring Process

Estimated timeline: 4-6 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Hiring manager interview· 60 min
3. 3Technical interview· 60 min
4. 4Executive interview· 45 min
5. 5Offer· N/A