Google Cloud Architect

Description

About Us

We are a premier cloud technology powerhouse and have been recognized as the Google Cloud Partner of the Year in 2024, 2025, and 2026. Our engineering team is not just cloud-native; we are AI-driven. We leverage cutting-edge AI tools in every aspect of our day-to-day work to maximize efficiency and innovation. We don't just sell technology; we live it.

We are constantly looking for people who match our DNA and culture to continue growing. Join us at Commit and embrace the exciting challenge of working with diverse clients and cutting-edge technologies, forming part of a team of experts who work together to help our customers turn ideas into reality.

The Role

We are looking for an experienced Google Cloud Architect to join our Delivery team as a Project Owner: the technical focal point who takes an approved, scoped and budgeted engagement and delivers it end to end, from the internal kickoff to a clean handover.

This is a delivery role, and the distinction matters to us. Our Customer Engineers own presale- qualification, discovery, the High-Level Design and the proposal. You pick the project up once it is won and own its technical execution: the Low-Level Design, the implementation, the validation and the handover. This is not a "ticket-taker" role. You will typically own several engagements in parallel, each with reserved blocks of your time, and each with a weekly meeting where you face the customer directly.

The "Kind of Projects" We Do

The projects vary according to the needs of our clients, but there are several recurring patterns:

• AWS to Google Cloud migrations: Moving production platforms across services such as EKS to GKE, RDS to Cloud SQL, S3 to Cloud Storage, ElastiCache to Memorystore; in waves, with controlled cutovers.
• Azure to Google Cloud migrations: Rebuilding a full Azure production estate on Google Cloud through a layered Terraform codebase.
• Cloud Foundations (Landing Zones): Resource hierarchy, IAM models, Organization Policies, Network Topology, Security Controls, centralized logging and billing guardrails.
• Kubernetes platform migrations: Design and deploy GKE clusters, node pool design, Workload Identity, Helm platform add-ons, ingress and Cloud Armor.
• DevOps and IaC enablement: Importing hand-built environments into Terraform, building reusable modules, and porting pipelines to GitHub Actions with Workload Identity Federation and Argo CD.
• Data and AI (Secondary): Take part on Database migrations, Big Data platforms, and increasingly AI workloads on the back of a migration or new deployments.

Key Responsibilities

• Own the Low-Level Design: Run discovery workshops, map the source environment, and produce the LLD and target architecture that the rest of the engagement is built on (usually the first milestone of every project).
• Build the foundations: Design and provision the landing zone, network topology, identity model and security guardrails, all codified in Terraform (usually using our own framework)
• Execute the migration: Provision the target platform, move workloads in waves, support the customer during the application refactoring (done by them), plan and rehearse the data migration, and run the cutover.
• Drive production readiness: End-to-end validation, basic security review, observability and alerting, DR drills, cost and capacity review, and prepare operational runbooks (if needed).
• Run the engagement: Keep the Monday project board and reported hours current, run the weekly customer meeting, make dependencies explicit, and flag budget deviations early rather than at the end.
• Protect the scope: Route new requests through change management instead of quietly absorbing them.
• The "Owner" Mindset: You identify risks before they cause downtime, and you say so. You do not wait for tickets. You own the project, but you have the whole team behind you to succeed.

Requirements

Must-Have Skills

• Google Cloud, hands-on: Deep architectural experience in cloud infrastructure engineering building on Google Cloud in production. Note that we are not hiring someone to learn GCP on the job.
• Terraform Expertise: You write modular, reusable code, manage remote state and workspaces, and can import and codify an environment that was built by hand. This is one of the core daily tools of the role.
• Kubernetes and GKE: Private clusters, node pools and autoscaling, Workload Identity, namespaces and RBAC, Helm, ingress controllers, and the operational reality of running production workloads.
• Networking and security: VPC design, subnets, Cloud NAT, Cloud DNS, Cloud VPN, Private Service Connect, firewall policies, IAM, Organization Policies and Secret Manager.
• Managed services: Primarily, but not exclusively Cloud SQL, Memorystore, Cloud Storage, Artifact Registry, Cloud Run, Pub/Sub, Cloud Logging and Cloud Monitoring.
• CI/CD: GitHub Actions (or equivalents) with keyless authentication to Google Cloud, container build and registry workflows, and GitOps delivery with Argo CD or similar.
• Source-cloud fluency: Working knowledge of AWS or Azure. You need to read a source environment fluently in order to migrate it.
• AI-driven working: You must be proficient with AI tools to perform daily work in a responsible manner.
• Customer-facing English: You will run workshops, weekly meetings and handover sessions directly with the customer's engineers and CTOs.

Nice to Have

• Google Cloud certification: We support and fund certification. Candidates without a current certification will be considered, but are expected to pass the exam within their first months.
• Migration scale: Experience migrating from AWS/Azure to GCP at production scale, including database migration with CDC or logical replication.
• Open-source platform experience: Kafka, Elasticsearch, Istio/Linkerd, Prometheus and Grafana, Vault, AI Frameworks, PostgreSQL/MySQL at DBA level.
• Development Experience: Hands-on experience on software development and Firebase.
• Experience with other Google products: Google Marketing Platform, Google Maps, Google Earth, etc.
• Data and AI: BigQuery, Dataflow, Firestore, Gemini Enterprise, or building on Google Agents Platform.
• Regulated delivery: Experience with compliance, and using Google Cloud services to achieve it. Cloud Armor and WAF tuning, managing VPC Service Controls, CMEK, or delivering into fintech and healthcare environments.