Director of QA
HybridRa'anana, Central District, Israel
Job Summary
Define and lead AI-augmented quality initiatives, deploying LLM-powered test generation and frameworks for validating non-deterministic model outputs. Own the full automation strategy across UI, API, and integration layers while architecting scalable test frameworks and driving shift-left testing embedded in CI/CD pipelines. Lead performance and load testing at enterprise scale, defining SLOs/SLAs and overseeing toolchains including k6, JMeter, and APM integrations to drive root-cause analysis for regressions. This Director-level role requires 12+ years in software engineering or QA with 5+ years in engineering leadership. The position reports to the Director, Engineering, CX and involves managing teams of automation engineers, performance engineers, and architects.
Required Qualifications
- 12+ years in software engineering or QA
- 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports
- Deep hands-on background in test automation architecture
- Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments)
- Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce
- Prior success managing multi-team orgs with both IC engineers and architects (10–40+ total headcount)
- Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
- Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows)
- Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows
- Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs
- Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling
- Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)
- Exceptional communicator — able to translate deep technical concepts into executive-level strategy and roadmaps
- Strong organizational influencer who shapes culture and engineering standards beyond your direct org
- Data-driven decision maker: you measure quality outcomes, not just activity
- Bias for hiring and developing senior talent; you build teams that outlast you
- Comfortable operating in ambiguity and driving clarity in fast-moving environments
- 2 days working from the office and 3 days of remote work, each week
Desired Qualifications
- Enterprise software domain experience (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
- Experience shipping or operating AI/ML systems
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