Related skills
java docker aws python kubernetes📋 Description
- Design end-to-end quality architecture for agentic SDLC pipelines from requirements to release gates
- Define how quality agents are orchestrated: autonomous decisions, human-in-the-loop, thresholds
- Architect multi-agent workflows: validation, test generation, failure triage, regression analysis
- Establish trust and verification models for agent-produced artifacts: test code, coverage, defect analyses
- Own quality feedback loops between agents: deployment learns from triage findings to improve generation
- Build a self-healing test infra: agents detect broken selectors, drifted APIs, fixes autonomously
🎯 Requirements
- 12+ years in software engineering with depth across development and QA
- 4+ years as hands-on principal architect or distinguished engineer
- Scaled quality infrastructure for 50+ engineers and high-velocity pipelines
- Production experience with systems that incorporate LLMs or AI agents
- Background in large-scale CI/CD architecture and performance engineering
- Enterprise SaaS/platform engineering in regulated, high-uptime environments
🎁 Benefits
- NiCE-FLEX hybrid: 2 days in office, 3 days remote
- Global career opportunities across roles and locations
- Collaborative, fast-paced environment with growth opportunities
- Opportunity to work with cutting-edge AI and agentic platforms
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