תיאור המשרה

Description Tech Lead – Cloud & DevOps Engineer We are looking for a Tech Lead – Cloud & DevOps Engineer to lead the Platform team in designing, building, and operating scalable cloud infrastructure and Kubernetes-based systems for production workloads, IoT services, and AI-driven applications. This includes supporting environments that may also interact with multi-agent AI systems. Experience with AI and LLM technologies is not required but would be a significant advantage. This is a hands-on technical leadership role that combines architecture, implementation, team leadership, and mentorship. You will guide engineers, define best practices, and drive the overall DevOps and cloud strategy. Responsibilities Lead the design and operation of scalable cloud infrastructure on AWS Architect, deploy, and manage production Amazon EKS (Kubernetes) clusters Own and continuously improve CI/CD pipelines (Jenkins, GitHub, Bitbucket, Argo CD) Define and enforce Infrastructure as Code (IaC) standards using Terraform Drive GitOps-based deployment strategies Build automation tools and backend services using Python Lead the observability strategy using Grafana, Amazon CloudWatch, OpenSearch, Pixie, and other monitoring tools Ensure production reliability, scalability, security, and cost optimization Manage cloud networking, IAM, security, and connectivity Administer Linux and Windows servers Lead production incident response and root cause analysis Mentor and support DevOps engineers Conduct code reviews, technical design reviews, and knowledge-sharing sessions Collaborate closely with software, embedded, data, and AI teams Define engineering standards, best practices, and platform architecture direction Requirements Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience 5+ years of experience in Cloud & DevOps, including technical leadership experience Strong hands-on experience with AWS Kubernetes (Amazon EKS preferred) Docker and Terraform CI/CD pipelines (Jenkins, GitHub, Bitbucket, Argo CD) Strong Linux administration skills Hands-on Windows Server administration Python scripting and automation Experience with production troubleshooting Strong knowledge of cloud networking, IAM, VPC, and cloud security Experience with Grafana, Amazon CloudWatch, and observability tools such as the ELK stack Proven experience in technical leadership and mentoring engineers Nice to Have AWS Certified Solutions Architect (Associate or Professional) Experience with IoT or embedded systems Experience designing scalable distributed systems Experience operating high-scale production systems (millions of devices) Experience with AI/LLM tooling (LangChain, LiteLLM, Langfuse) Exposure to multi-agent AI systems