Cloud Architect

Commit

. Serve as the technical focal point and Project Owner for approved, scoped, and budgeted engagements .

Posted 11/9/2026full-timePetah Tikva • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud infrastructure architecture on Google Cloud, with a strong focus on Terraform, Kubernetes, and networking security. Capable of managing multiple projects, conducting customer workshops, and ensuring production readiness through comprehensive validation and operational planning.

Highest-signal resume keywords

Google Cloud Infrastructure ArchitectureTerraform ExpertiseProduction Kubernetes and GKE ExperienceNetworking and Security ExpertiseCI/CD Experience with GitHub Actions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud InfrastructureTerraformKubernetesGKENetworkingSecurityCI/CDData MigrationObservabilityDisaster Recovery

Soft Skills

Customer-Facing CommunicationRisk ManagementProject Management

Tools & Technologies

Google CloudCloud SQLCloud StorageArtifact RegistryCloud RunPub/SubGitOpsArgo CDAI ToolsFirebase

Certifications & Qualifications

Google Cloud Certification

Industry Keywords

Regulated DeliveryCloud ComplianceOpen-Source PlatformsData and AIMigration Experience

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudDNSElasticSearchFirebaseGoogle Cloud PlatformGrafanaKafkaKubernetesMySQLNode.jsPostgresPrometheusSQLTerraformVault

About the role

Key responsibilities & impact

Serve as the technical focal point and Project Owner for approved, scoped, and budgeted engagements
Own technical execution from internal kickoff through implementation, validation, and clean handover
Own several engagements in parallel with reserved time blocks and weekly direct customer meetings
Run discovery workshops, map source environments, and produce Low-Level Designs and target architectures
Design and provision landing zones, network topologies, identity models, and security guardrails in Terraform
Provision target platforms and migrate workloads in waves with controlled cutovers
Support customers during application refactoring, plan and rehearse data migrations, and run cutovers
Drive production readiness through validation, basic security reviews, observability, alerting, disaster recovery drills, and cost and capacity reviews
Prepare operational runbooks when needed
Maintain the Monday project board and reported hours
Run weekly customer meetings, clarify dependencies, and flag budget deviations early
Route new requests through change management to protect project scope
Identify and communicate risks proactively to prevent downtime

Requirements

What you’ll need

Deep hands-on architectural experience building cloud infrastructure on Google Cloud in production
Terraform expertise, including modular reusable code, remote state, workspaces, and importing/codifying manually built environments
Production Kubernetes and GKE experience, including private clusters, node pools, autoscaling, Workload Identity, namespaces, RBAC, Helm, and ingress controllers
Networking and security expertise, including VPC design, subnets, Cloud NAT, Cloud DNS, Cloud VPN, Private Service Connect, firewall policies, IAM, Organization Policies, and Secret Manager
Experience with managed services including Cloud SQL, Memorystore, Cloud Storage, Artifact Registry, Cloud Run, Pub/Sub, Cloud Logging, and Cloud Monitoring
CI/CD experience with GitHub Actions or equivalents, keyless authentication to Google Cloud, container build and registry workflows, and GitOps delivery with Argo CD or similar
Working knowledge of AWS or Azure
Proficiency with AI tools for daily work, used responsibly
Customer-facing English for workshops, weekly meetings, and handover sessions with engineers and CTOs
Google Cloud certification is nice to have; candidates without current certification are expected to pass the exam within their first months
Experience migrating AWS/Azure environments to GCP at production scale is nice to have
Open-source platform experience with Kafka, Elasticsearch, Istio/Linkerd, Prometheus/Grafana, Vault, AI frameworks, or PostgreSQL/MySQL at DBA level is nice to have
Hands-on software development and Firebase experience is nice to have
Experience with other Google products is nice to have
Data and AI experience with BigQuery, Dataflow, Firestore, Gemini Enterprise, or Google Agents Platform is nice to have
Regulated delivery and Google Cloud compliance experience is nice to have

Benefits

Comp & perks

Google Cloud certification support and funding
Diverse clients and cutting-edge technologies
AI tools used in day-to-day work
Team of cloud technology experts