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Senior Devops Engineer

D-ID

D-ID

Software Engineering
Tel Aviv-Yafo, Israel · Tel Aviv District, Israel
Posted on Sep 14, 2025

D-ID is the leading interface for the agentic revolution, pioneering Natural User Interfaces (NUI) with hyper-realistic, interactive avatars for AI agents, assistants, and co-pilots. With an enterprise-grade, secure, and scalable streaming API, D-ID enables seamless, human-like interactions that enhance trust and redefine AI-powered communication. Since its founding in 2017, D-ID has been supported by tier-1 VCs. Over 180 million videos featuring digital humans have been created using D-ID’s self-service studio and integrations, while more than 280,000 developers are building innovative solutions with the D-ID API.
We are looking for an exceptional Senior Dev-Ops Engineer to join our world-leading team in building high-impact products using state-of-the-art technology.

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Role & Responsibilities

  • Design, deploy, and manage Kubernetes environments (EKS, AKS).
  • Architect, implement, and maintain cloud infrastructure using Infrastructure-as-Code (Terraform, Terragrunt, CloudFormation).
  • Own and improve the company’s CI/CD pipelines (GitHub Actions).
  • Build, monitor, and scale AWS and Azure cloud environments.
  • Drive the company’s cloud strategy, privacy, and compliance initiatives.
  • Streamline and automate training and inference workflows for the company’s proprietary GenAI models.

You Are

  • Hands-on.
  • Strong team player with excellent collaboration skills.
  • Independent, proactive, and self-motivated.

  • B.Sc. in Computer Science or equivalent practical experience.
  • 4+ years of hands-on devops industry experience.
  • Expertise in AWS / Azure system design.
  • Practical experience with containerized environments and microservices (Docker, Kubernetes).
  • Strong knowledge of Infrastructure as Code (IaC) and system administration.
  • Experience with monitoring, logging, and observability tools.
  • Programming skills - Node.js (TypeScript) and Python.
  • ML Ops experience – an advantage.