Arad measurement technologies is the development center for Arad group, a world leader in IoT smart water measurement and management systems. Arad products are sold in more than 60 countries.
With millions of users worldwide, Arad water management software is a world-leading enterprise completely cloud-based SaaS.
Arad Technologies employs over 100 engineers and researchers, including Software, Firmware, Radio, hardware, hydraulics, mechanics, and more.
We are looking for a highly skilled DevOps Engineer to join our engineering team. In this role, you will be responsible for designing, implementing, and maintaining scalable, secure, and automated cloud infrastructure and CI/CD pipelines. You will work closely with development, QA, and operations teams to improve deployment reliability, infrastructure automation, and operational excellence.
עיקרי התפקיד
Build, design and maintain infrastructure across Azure (AKS) and GCP (GKE)
Build, maintain, and optimize Infrastructure as Code (IaC)
Deploy, manage, and troubleshoot Kubernetes clusters and workloads.
Develop and maintain Azure DevOps YAML pipelines, including reusable pipeline templates.
Automate application deployments and infrastructure provisioning.
Integrate security best practices into DevOps workflows and deployment pipelines.
Manage networking components including ingress controllers, load balancing, and service routing.
Collaborate with software engineering teams to improve release processes and deployment automation.
דרישות
5+ years of experience as a DevOps Engineer.
Experience with Microsoft Azure cloud services (AKS) - (GCP/GKE is an advantage).
Hands-on experience with Infrastructure as Code (IaC) using Terraform/Terragrunt.
Strong hands-on experience with Kubernetes, Helm, and Docker in production environments.
Experience implementing and managing GitOps workflows using Argo CD.
Experience building and maintaining Azure DevOps CI/CD pipelines using YAML, including reusable templates.
Hands‑on experience with security tooling and practices such as WAF, SAST/SCA, vulnerability scanning, secrets management, or container/IaC security.
Experience working with AI-powered engineering, automation, or operational tools.