Google Cloud Delivery Architect

Jobgether

Deutschland

On-site

EUR 120,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Google Cloud certification costsFunded
Professional development opportunities
Challenging cloud projects

Job summary

Jobgether in Germany is seeking a Google Cloud Delivery Architect to own end-to-end cloud delivery engagements, from solution design to production handover. You will lead multiple fixed-budget projects, coordinating with customer engineers and CTOs to ensure secure, scalable cloud solutions on Google Cloud.

The role emphasizes migrations, landing zones, and production-ready Kubernetes platforms, with Terraform automation and strong CI/CD/GitOps practices.

Qualifications

  • Google Cloud expertise with production-grade architectures.
  • Terraform IaC modular, reusable solutions and remote state management.
  • Excellent English communication; lead workshops and weekly project meetings.
  • Kubernetes / GKE production experience with private clusters, RBAC, and related tooling.
  • Networking and security knowledge: VPC, Cloud NAT, DNS, VPN, firewall policy, IAM.
  • CI/CD and GitOps experience: GitHub Actions, Argo CD, keyless auth to GCP.

Responsibilities

  • Lead end-to-end cloud delivery from architecture and planning through implementation and handover.
  • Coordinate several fixed-budget projects in parallel, tracking timelines and budgets.
  • Drive migrations from AWS/Azure to Google Cloud with phased cutovers.
  • Design secure, scalable landing zones and Terraform-based automation.
  • Architect production-ready GKE environments with private clusters and policies.
  • Implement CI/CD and GitOps with GitHub Actions and Argo CD.
  • Lead weekly customer meetings and technical workshops; maintain alignment with client teams.
  • Maintain governance with documentation, tracking boards, and runbooks.
  • Deliver comprehensive handover docs and knowledge-transfer sessions.

Skills

Google Cloud
Kubernetes / GKE
English communication
Client-facing leadership
Cloud migrations planning
Security and IAM
CI/CD concepts
AI-assisted decision making
AWS or Azure knowledge

Tools

Terraform
GitHub Actions
Argo CD
GKE / Kubernetes configs
Private clusters / Workload Identity
Cloud Armor / VPC basics

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Google Cloud Delivery Architect based in Germany.

As a Google Cloud Delivery Architect, you will take ownership of end-to-end cloud delivery engagements, from initial solution design through production deployment and final handover. You will lead multiple fixed-budget projects simultaneously, ensuring technical excellence, delivery efficiency, and customer satisfaction. Working closely with customer engineering teams and technical leadership, you will translate presales commitments into secure, scalable, production-ready cloud solutions. Your work will cover cloud migrations, infrastructure modernization, Kubernetes platforms, and DevOps automation. You will also drive infrastructure-as-code best practices and help customers build reliable, future-ready cloud environments. This is an opportunity to combine deep technical expertise with project ownership in a highly collaborative, customer-focused environment recognized for its Google Cloud expertise.

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.
Benefits:
  • Opportunity to lead impactful Google Cloud transformation and modernization projects.
  • Exposure to complex, large‑scale cloud migrations and production architecture challenges.
  • Work with modern cloud technologies, including GKE, Terraform, GitOps, and AI‑powered development tools.
  • Google Cloud certification costs funded, with support to obtain relevant professional certifications.
  • Collaborative environment focused on technical excellence, innovation, and continuous development.
  • Direct involvement in customer‑facing architecture and strategic technical decision‑making.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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