Accountabilities:

Lead end-to-end cloud delivery: Own Google Cloud engagements from architecture and planning through implementation, production readiness, and final handover.
Manage multiple projects: Coordinate several fixed-budget projects in parallel, maintaining delivery timelines, budgets, resource allocation, and quality standards.
Drive cloud migrations: Lead AWS and Azure to Google Cloud migrations, including EKS to GKE, RDS to Cloud SQL, and S3 to Cloud Storage, using phased migration strategies and controlled cutovers.
Design cloud foundations: Build secure and scalable Google Cloud landing zones, covering resource hierarchies, IAM, organization policies, network architecture, and security controls, with Terraform-based automation.
Architect Kubernetes platforms: Design and deploy production-ready GKE environments, including private clusters, Workload Identity, Helm add-ons, ingress configurations, and Cloud Armor.
Implement DevOps and infrastructure automation: Develop reusable Terraform modules, modernize existing infrastructure, and implement CI/CD and GitOps workflows using GitHub Actions, Workload Identity Federation, and Argo CD.
Own customer relationships: Lead weekly customer meetings, facilitate technical workshops, communicate project progress, and ensure alignment with customer engineers and CTOs.
Ensure delivery governance: Maintain project documentation, tracking boards, and resource-hour reporting; proactively identify budget deviations and manage scope changes.
Manage project handovers: Deliver comprehensive documentation, operational runbooks, and knowledge-transfer sessions to ensure smooth transitions into production and ongoing operations.

Requirements

Google Cloud expertise: Strong hands-on experience designing and delivering production-grade Google Cloud architectures. GCP must already be a core technical competency.
Terraform proficiency: Extensive experience developing modular, reusable infrastructure-as-code solutions, managing remote state, and importing existing manually configured environments.
Customer-facing communication: Excellent English communication skills, with the ability to independently lead workshops, weekly project meetings, technical discussions, and handovers.
Kubernetes and GKE experience: Proven production experience with private clusters, node pools, autoscaling, RBAC, Workload Identity, Helm, and ingress management.
Networking and security knowledge: Strong understanding of VPC architecture, Cloud NAT, DNS, VPN, Private Service Connect, firewall policies, IAM, organization policies, and Secret Manager.
CI/CD and GitOps expertise: Experience implementing automated delivery pipelines using GitHub Actions or equivalent tools, keyless authentication to Google Cloud, container workflows, and Argo CD or similar GitOps solutions.
AWS or Azure knowledge: Practical familiarity with at least one major source cloud platform and the ability to understand and assess existing environments before migration.
AI-driven working approach: Confident daily use of AI-powered tools, combined with sound technical judgment to evaluate generated recommendations and distinguish useful outputs from unreliable ones.
English fluency: Strong written and spoken English skills for international customer-facing collaboration.

Nice-to-have qualifications:

Current Google Cloud certification, or willingness to obtain one within the first months, with certification costs funded.
Experience delivering large-scale production migrations, including change data capture (CDC) and logical replication.
Familiarity with open-source technologies such as Kafka, Elasticsearch, Istio, Prometheus, Grafana, and Vault.
Knowledge of Google Cloud data and AI services, including BigQuery, Dataflow, and Gemini.
Experience working in regulated industries or fintech environments, particularly with VPC Service Controls (VPC-SC), Customer-Managed Encryption Keys (CMEK), and Cloud Armor.
Previous consulting experience delivering fixed-scope, fixed-budget technical engagements.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

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