Director of Engineering ,Automation, Performance & AI Quality
Core
Architect and lead the quality engineering discipline into the AI era, owning automation infrastructure, performance engineering, and AI-driven quality initiatives to validate modern software at scale.
Role type
Director of Engineering (Quality, Automation, Performance & AI)
Builds
Scalable test frameworks, AI-augmented quality tooling, and enterprise-scale performance validation pipelines.
Domain
Enterprise software quality engineering, AI/ML validation, and distributed systems performance.
Deliverable
production ML models | product features | infrastructure
Required skills
Test automation architecture, performance engineering at scale, AI/ML system quality, team leadership (10-40+ headcount), CI/CD pipeline integration, observability tooling.
Preferred skills
Enterprise software domain (SaaS, CCaaS, fintech), LLM capabilities and agentic workflows, statistical testing concepts, scripting/programming languages.
Technologies
Jenkins, GitHub Actions, k6, JMeter, Gatling, Datadog, Grafana, Dynatrace, New Relic, Python, TypeScript, Java.
Responsibilities
Define and lead AI-augmented quality initiatives, deploy LLM-powered test generation and triage tooling, architect scalable test frameworks, drive shift-left testing in CI/CD, lead performance and load testing strategy, grow teams of engineers and architects.
Seniority
Director, hands-on IC leader with direct reports.