כישורים מהמשרה
AWS cloud infrastructureAmazon EKS (Kubernetes)Infrastructure as Code (Terraform)CI/CD pipelines (Jenkins, GitHub/Bitbucket, Argo CD)Python development and automationCloud networking and security (IAM, VPC, TGW, Site-to-Site VPN)Cloud security best practices & CSPM tools (e.g., Orca, Wiz, Prisma Cloud)Monitoring & troubleshooting (CloudWatch, Grafana, OpenSearch/ELK, New Relic, tracing)Linux and Windows patchingAgentic AI concepts and workflows
תיאור המשרה
Description Cloud & DevOps Engineer We are looking for a Cloud & DevOps Engineer to join our Platform team in designing, building, and operating scalable cloud infrastructure and Kubernetes-based systems for production workloads, IoT services, and AI-driven applications. This is a hands-on engineering role focused on building reliable cloud platforms, automation, and production infrastructure while working closely with software, embedded, data, and AI teams. Requirements Bachelor's degree in computer science, Engineering, or equivalent practical experience 3+ years of hands-on experience in Cloud & DevOps Strong experience designing, deploying, and operating AWS cloud infrastructure and Amazon EKS (Kubernetes) clusters Experience developing and maintaining Infrastructure as Code (IaC) using Terraform Experience building and maintaining CI/CD pipelines using Jenkins, GitHub, Bitbucket, and Argo CD Strong Python development and automation skills Experience managing cloud networking, IAM, VPC, Transit Gateway (TGW), Site-to-Site VPN, and cloud security Knowledge of Cloud Security Posture Management (CSPM) solutions (e.g., Orca, Wiz, Prisma Cloud) and cloud security best practices Experience monitoring and troubleshooting production environments using Grafana, Amazon CloudWatch, OpenSearch/ELK, New Relic, and distributed tracing tools Experience planning and executing Linux and Windows OS patching across production environments Experience building and operating highly available, secure, scalable, and cost-efficient production platforms Understanding of Agentic AI concepts and workflows, including orchestration, MCP, multi-agent architectures, AI agents, tool integration, and AI-powered services Strong troubleshooting, problem-solving, communication, and collaboration skills Nice to Have AWS Certified Solutions Architect (Associate or Professional) Experience with IoT or embedded systems Experience designing distributed systems or operating large-scale production platforms Hands-on experience with Agentic AI frameworks such as Lang Graph, Lang Chain, API Gateway , Lang fuse, or similar technologies Experience building AI/LLM-powered applications