DevOps Engineer jobs in Tel Aviv-Yafo

Job Description • Operate and modernize development infrastructure across on-premises and cloud environments, contributing to cloud migration and adoption of infrastructure as code. • Build and evolve CI/CD pipelines and build infrastructure to accelerate development, testing, and release workflows. • Maintain core development tools and infrastructure services, including GitLab, Artifactory, RabbitMQ, and Temporal. • Deploy, manage, and troubleshoot containerized workloads using Docker, Kubernetes, and Helm. • Develop automation, internal tools, and integrations using Python, Bash, or Go. • Support R&D teams, resolve service requests, and participate in the team’s duty and on-call rotation for critical development services. • Strengthen monitoring, logging, and alerting, investigate incidents, and automate recurring operational work. • Apply AI engineering tools and agentic workflows to accelerate daily tasks and develop internal automation. • Collaborate with development and security teams, maintaining clear documentation and operational runbooks. Qualifications • 3+ years of experience in DevOps, platform engineering, infrastructure engineering, or a related role. • Strong Linux administration skills and practical troubleshooting experience across systems, networking, and development infrastructure. • Strong scripting and automation skills in Python or Bash. • Experience building and maintaining CI/CD pipelines using tools such as GitLab CI or GitHub Actions. • Hands-on experience with Docker and Kubernetes. • Practical experience with a public cloud platform, preferably AWS. • Experience with infrastructure as code or configuration management tools such as Terraform or Ansible. • Experience with monitoring, logging, and production troubleshooting. • Strong practical proficiency with AI engineering tools, including coding assistants and agentic workflows; the ability to integrate them into engineering processes, assess output quality, and stay current with industry innovations and best practices. • A service-oriented approach, clear communication, and ownership of issues through resolution. • The ability to independently research unfamiliar technologies and implement practical solutions. Nice to Have • Experience migrating on-premises workloads to the cloud or operating hybrid environments. • Experience with Helm and GitOps tools such as Argo CD or Flux. • Experience operating GitLab, Artifactory, RabbitMQ, or Temporal. • Familiarity with Prometheus, Grafana, or centralized logging platforms. • Software development experience in Python or Go, including internal developer tooling or AI agents. • Experience with virtualization or Windows/macOS administration.

Job Description • Own and evolve our cloud infrastructure across multi-region production environments, end-to-end. • Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates. • Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed. • Initiate, implement, and champion an AI-first DevOps & SRE ecosystem - identifying opportunities, building AI agents and intelligent automation, and driving their adoption across engineering operations. • Develop automation frameworks for provisioning, scaling, observability, and incident response, leveraging AI-powered tooling and agentic workflows to reduce toil. • Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling. • Champion zero-trust secrets management and credential-less authentication patterns across the stack. • Partner with architects and engineering leadership on cloud cost optimization, availability, and performance. • Build internal tooling and automation that multiplies engineering velocity across the organization. Qualifications • 5+ years of hands-on DevOps experience in a SaaS product environment - Must. • Demonstrated initiative in applying AI to engineering operations - designing and building AI agents, agentic workflows, LLM-powered automation, or Model Context Protocol (MCP) integrations that reduced operational toil and improved production reliability, quality, or velocity - Must. • Strong scripting and programming skills - Python and Bash for automation, tooling, and AI agent development; Go is a plus. • Strong motivation to continuously learn and adopt emerging technologies, and to share that knowledge across the team. • Deep, hands-on AWS expertise; multi-cloud (AWS, GCP, Azure) experience is a strong plus - Must. • Strong understanding of containers and orchestration - Docker, Kubernetes, including workloads, networking, service mesh (Istio), Helm/Kustomize, and autoscaling (KEDA, HPA, VPA). • Strong experience with:• Infrastructure-as-Code - Terraform, Crossplane, and/or cloud-native declarative tooling. • GitOps principles and tooling (ArgoCD or equivalent). • CI/CD platforms - building reusable, scalable, security-hardened pipeline templates (GitHub Actions or equivalent). • Secrets management - dynamic injection, IRSA/Workload Identity, avoiding long-lived credentials. • Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray). • Solid observability knowledge - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing. • Hands-on experience with AI/ML workloads or LLMOps infrastructure - a significant advantage. • Cost-awareness (FinOps) - treating cloud spend as a core engineering metric. • Clear communication skills - able to align engineers, security teams, and leadership around infrastructure decisions. • A strong sense of ownership - proactively identifying gaps and driving improvements.