Turin, Italy Hybrid Full-time EUR 50,000 – 60,000 / year

Nebuly is hiring a DevOps Engineer

Responsibilities

  • Architect, deploy, and oversee cloud environments using major providers including AWS, Azure, or Google Cloud Platform.
  • Build and sustain Kubernetes clusters with a focus on scalability, high availability, and optimal resource management.
  • Lead Infrastructure as Code efforts using tools like Terraform to automate provisioning and maintenance of cloud infrastructure.
  • Oversee system performance through monitoring and resolve issues to maintain system reliability and uptime.

Benefits

  • Work in agile, compact teams with significant autonomy and responsibility.
  • Contribute directly from concept through to product release.
  • Build systems from the ground up and witness development progress into scalable, production-grade solutions.
  • Grow professionally through increasing technical and strategic challenges as the organization expands.
  • Attractive compensation package featuring a gross annual salary between €50,000 and €60,000 based on technical performance, plus substantial stock options in a rapidly growing company.

Compensation

€50,000–60,000 gross per year plus equity

Work Arrangement

Hybrid — Turin, Italy

Team

Small, agile teams operating with entrepreneurial drive, high ownership, and independence

Other

  • The hiring process is conducted in English.
  • Applicants must send their resume to careers@nebuly.ai along with code samples or GitHub repositories demonstrating backend development capabilities.
About company
Nebuly

Enterprise User Analytics for AI Agents

Nebuly analyzes conversations between employees, customers, and AI agents to surface actionable insights about adoption, unmet needs, and ROI. The platform helps enterprises understand how their AI agents are being used and where improvements are needed.

Founded on the belief that AI only succeeds when the human using it succeeds, Nebuly focuses on user-centricity, craft, and focus to deliver tools that ensure AI deployments are effective and responsive to user needs.

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Job Details
Department Engineering
Category DevOps & SRE
Posted 21 days ago