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DevOps / Infrastructure Engineer for AI‑augmented EDA Platform

NativeChips.ai · 6 Octobre

Remote
Remote Senior 🇬🇧 English
Kubernetes Terraform Docker AWS GCP Linux CI/CD FlexLM RLM Helm Operator development

Job description

About the role

NativeChips is looking for a DevOps / Infrastructure Engineer to own the deployment stack of its AI‑augmented EDA platform, both as a cloud‑based PaaS and as on‑prem installations for customers. You will shape CI/CD pipelines, cloud infrastructure, and on‑prem deployment patterns while ensuring reliable license management and operational excellence.

Key responsibilities

  • Design, build, and maintain CI/CD pipelines for the platform codebase.
  • Manage production cloud infrastructure on AWS or GCP for the PaaS offering.
  • Define and implement on‑prem deployment patterns using containers and Infrastructure‑as‑Code.
  • Handle proprietary EDA license management (FlexLM, RLM, vendor portals).
  • Set up monitoring, logging, alerting, and incident response procedures.
  • Implement backup, disaster recovery, and capacity‑planning processes.

Required profile

  • 5+ years of experience in DevOps, SRE, or Platform Engineering.
  • Strong expertise with Kubernetes, Terraform, and Docker.
  • Hands‑on production experience with AWS or GCP.
  • Solid Linux systems administration skills.
  • Proven ability to build production infrastructure from scratch.

Required skills

  • Kubernetes
  • Terraform
  • Docker
  • AWS
  • GCP
  • Linux
  • CI/CD pipeline development
  • FlexLM license management
  • RLM license management
  • Helm chart authoring
  • Operator development

What we offer

  • Direct impact on product direction and engineering culture from day one.
  • Work with a senior, founder‑led team experienced in the semiconductor industry.
  • Remote‑friendly model with a Cairo‑based engineering hub.
  • Competitive compensation and meaningful stock options for early hires.

Questions fréquentes

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Published 3 months ago

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NativeChips.ai

6 Octobre