Director of Engineering, Automation, Performance & AI Quality

About the role

We are seeking a visionary engineering leader to shape our quality engineering discipline for the AI era. You will own automation infrastructure, performance engineering, and AI‑driven quality initiatives while building and mentoring high‑performing teams that set the standard for modern software validation at scale.

Key responsibilities

• Define and lead AI‑augmented quality strategy, deploying LLM‑powered test generation, triage and root‑cause analysis tools.
• Own the automation strategy across UI, API and integration layers, architecting scalable test frameworks and embedding shift‑left testing in CI/CD pipelines.
• Lead performance and load‑testing strategy at enterprise scale, define SLOs/SLAs, and collaborate with SRE on reliability thresholds.
• Grow and manage teams of automation engineers, performance engineers and architects, set technical direction, OKRs and career ladders.

Required profile

• 12+ years of software engineering or QA experience, with 5+ years in a director‑level or senior staff leadership role.
• Deep hands‑on background in building test‑automation frameworks from scratch.
• Proven track record leading performance engineering for distributed, cloud‑native systems serving 10,000+ concurrent users.
• Experience shipping AI/ML model validation and responsible AI testing practices.

Required skills

• Test automation architecture
• UI, API and integration testing
• CI/CD pipelines (Jenkins, GitHub Actions)
• LLM‑powered test generation (GitHub Copilot, Claude)
• Performance and load testing tools (k6, JMeter, Gatling, APM integrations)
• SLO/SLAs definition and reliability engineering collaboration
• Cloud‑native distributed systems
• AI/ML model output validation