E-commerce Cloud Migration
Forty storefronts and more than 100 GiB of production data moved onto a controlled GCP and GKE platform.
View the cloud migrationPlatform Engineering
Platforms that let product teams deliver reliably.
I take on platform work around Kubernetes, GCP/GKE, and cloud migrations with direct responsibility for applications, releases, and operations. This includes cloud runtime, GitOps, CI/CD, Terraform, and observability.
On existing OpenShift clusters, I take on workload migration, compatibility, and delivery. Architecture and platform code stay tied to delivery.
When Platform Engineering fits
The platform is part of the delivery path.
I join when platform boundaries block releases, a migration needs ownership, or the current setup cannot be operated reliably.
- Kubernetes or the cloud environment is slowing releases and product teams.
- A migration needs a controlled path across applications, data, and infrastructure.
- GitOps, IAM, CI/CD, and monitoring exist but do not form an understandable system.
- A critical delivery phase temporarily needs experienced platform ownership.
Ownership
Platform decisions become executable.
I connect target architecture, implementation, cutover, and day-two operations inside a named area of responsibility.
- Target architecture and staged migration path
- Kubernetes and cloud runtime plus OpenShift workloads on existing clusters
- IAM, networking, security contexts, and platform policy
- Infrastructure as code, GitOps, and CI/CD
- Monitoring, alerting, operational documentation, and handover
Evidence
Platform work under production conditions.
The cases document concrete migration, delivery, and operational ownership.
Regulated Engineering Platform
Five OpenShift workloads, three stages, and a shared delivery view were connected to product engineering.
View the engineering platformEngagement
From production reality to a controlled target state.
Migration and platform changes are split into verifiable steps without ignoring the running operation.
Map the system
Applications, platform, data, delivery, dependencies, and operational risks become visible.
Plan target stages
I define the target state, testable intermediate stages, and explicit rollback or handover points.
Implement the platform
Infrastructure, pipelines, policy, observability, and required application changes are delivered together.
Cut over and operate
Production signals, rollback, knowledge transfer, and day-two work are verified before handover.
Questions
Common points to settle before starting.
Do you take on ongoing operations?
The agreed scope can include production stabilisation and time-bounded operation. Long-term ownership and handover are made explicit.
Do you work with established infrastructure?
Yes. I first verify which existing platforms and tools remain sound. Replacing them needs a concrete technical reason.
Can applications be part of the migration?
Yes. Platform migrations often fail at application, data, or integration boundaries. Those changes belong in one delivery path.
Which platforms do you cover?
My main areas are Kubernetes, GCP/GKE, Terraform, Ansible, Argo CD, GitLab CI, Prometheus, and Grafana; AWS is part of my project experience. On OpenShift, I take responsibility for workloads and delivery on existing clusters.
Platform project
Is the platform blocking product teams, migration, or operations?
Describe the applications, platform, current constraint, and target state. I will identify a sensible area of ownership.