🛠 Tech Stack

💼 About This Role

You'll lead the quality engineering discipline into the AI era, architecting automation infrastructure and AI-driven quality initiatives. You'll own performance engineering and build high-performing teams that set the standard for modern software validation at scale. This role bridges engineering velocity and product reliability.

🎯 What You'll Do

• Define and lead AI-augmented quality initiatives across the organization
• Own 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
• Deep hands-on background in test automation architecture
• Proven track record leading performance engineering at scale
• Experience shipping or operating AI/ML systems

✨ Nice to Have

• Enterprise software domain experience (SaaS, CCaaS, fintech)
• Proficient in Python, TypeScript, or Java
• Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)

🎁 Benefits & Perks

• 🌍 Hybrid model (2 days office, 3 remote)
• 📈 Career growth opportunities across roles and domains
• 🏢 Global company with market-leading position

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 60 min
3. 3Technical Interview· 60 min
4. 4Leadership Interview· 60 min