обновлено 4 дня назад
Director of Quality Engineering (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Quality Engineering (AI) (AI quality, automation, and performance engineering): Architecting and leading quality engineering across AI-driven testing, automation infrastructure, and enterprise-scale performance validation with an accent on LLM-powered test generation, non-deterministic model behavior, and scalable test frameworks. Focus on building high-performing engineering organizations, integrating continuous quality into CI/CD, and solving complex reliability, regression, and observability challenges.
Location: Raanana, Israel; hybrid schedule with 2 days in the office and 3 days remote each week
Company
is a global software company providing AI, cloud, and digital solutions for customer experience, financial crime prevention, and public safety.
What you will do
- Define and lead AI-augmented quality initiatives, including LLM-powered test generation, triage, root-cause analysis, and validation of AI/ML outputs.
- Own automation strategy across UI, API, and integration layers, and architect scalable test frameworks.
- Drive shift-left testing and continuous quality validation through Jenkins and GitHub Actions.
- Lead enterprise-scale performance and load testing, define SLOs and SLAs, and investigate regressions, bottlenecks, and latency spikes.
- Lead and grow teams of automation engineers, performance engineers, and architects while setting technical direction, OKRs, and career ladders.
- Partner with Product, DevOps, R&D, and SRE leadership to connect engineering velocity with product reliability.
Requirements
- 12+ years of software engineering or QA experience, including 5+ years in engineering leadership at Director level or senior Staff+ level with direct reports.
- Deep experience building test automation frameworks from scratch and leading performance engineering for distributed, cloud-native systems supporting 10,000+ concurrent users.
- Experience shipping or operating AI/ML systems and addressing model drift, data validation, and non-deterministic behavior.
- Experience managing multi-team organizations of 10–40+ engineers, including individual contributors and architects.
- Working knowledge of LLMs, prompt engineering, RAG, agentic workflows, and AI coding assistants such as GitHub Copilot, Claude, or Cursor.
- Proficiency in Python, TypeScript, or Java, modern CI/CD tooling, and observability or APM platforms such as Datadog, Grafana, Dynatrace, or New Relic.
hirify.global-to-have"> to have
- Enterprise software experience in SaaS, CCaaS, fintech, or another high-uptime or regulated domain.
- Experience establishing quality coverage KPIs, flakiness SLAs, automation ROI metrics, and responsible AI testing governance.
Culture & Benefits
- -FLEX hybrid model with 2 office days and 3 remote days each week.
- Fast-paced, collaborative, and creative environment focused on innovation and continuous learning.
- Internal career opportunities across roles, disciplines, domains, and locations.
- Opportunity to influence engineering standards and quality practices across a global organization.
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