Related skills
jenkins datadog github actions test automation ai📋 Description
- Define and lead AI-augmented quality initiatives across the organization.
- Deploy LLM-powered test generation, triage, and root-cause tooling.
- Build frameworks for validating AI/ML outputs and non-deterministic behaviors.
- Architect scalable, maintainable test frameworks and shift-left CI/CD testing.
- Lead and grow teams of automation and performance engineers; set direction and OKRs.
- Champion responsible AI testing practices, coverage standards, governance models.
🎯 Requirements
- 12+ years in software engineering or QA, with 5+ years in director-level leadership.
- Deep hands-on background in test automation architecture; built frameworks from scratch.
- Proven track record leading performance engineering at scale (10k+ concurrent users).
- Experience shipping or operating AI/ML systems and understanding AI quality challenges.
- Prior success managing multi-team orgs (10–40 headcount).
- Proficient in Python, TypeScript, or Java; and modern CI/CD tooling.
- Working knowledge of LLM capabilities, prompt engineering, RAG.
- Familiarity with observability/APM tools (Datadog, Grafana, Dynatrace, New Relic).
🎁 Benefits
- NiCE-FLEX hybrid model: 2 days in office, 3 remote.
- Global company with internal career opportunities across roles and locations.
- Flexible, fast-paced, collaborative environment.
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