Global AI-Driven Quality Engineering Leader

Kong

Milano

In loco

EUR 130.000 - 180.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Descrizione del lavoro

Kong is seeking a Senior Engineering Manager to lead Quality Engineering across its flagship runtime platforms. You will oversee a distributed SDET team and architect an AI-driven testing strategy, expanding LLMs and autonomous test agents within CI/CD pipelines.

You will define QE health metrics, drive upstream quality ownership, and partner with Product and Software Engineering to build testable architectures for low-latency data planes.

Competenze

  • 10+ Years in Software Engineering / SDET
  • 4+ Years in Engineering Management
  • Hands-on AI Integration Vision with LLMs or autonomous test agents
  • Operational Excellence: manage follow-the-sun cadence and cross-timezone execution

Mansioni

  • Global Team Leadership & Operations: lead a distributed SDET team across regions
  • Architect the AI Testing Strategy and roadmap for AI, LLMs, and autonomous test agents
  • Own Runtimes Quality Strategy for low-latency data planes
  • Modernize Frameworks & CI/CD Pipelines within GitHub Actions, Docker, and Kubernetes
  • Shift-Left Quality & Governance: embed testability in early designs
  • Define Enterprise-Grade Metrics: QE health indicators and release stability

Conoscenze

SDET / Software Testing
Software Engineering
Engineering Management
AI Integration
Operational Excellence

Strumenti

GitHub Actions
Docker
Kubernetes

Descrizione del lavoro

Kong is seeking a Senior Engineering Manager to lead Quality Engineering across its flagship runtime platforms. You will oversee a distributed SDET team and architect an AI-driven testing strategy, expanding LLMs and autonomous test agents within CI/CD pipelines.

You will define QE health metrics, drive upstream quality ownership, and partner with Product and Software Engineering to build testable architectures for low-latency data planes.

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