Cloud foundations
GCP architecture, IAM, private networking, managed runtimes, and cost-aware platform decisions.
Cloud Platform Engineering · United States
Lucien Tanyi
Cloud Platform Engineer
Building reliable, automated, and secure cloud infrastructure for teams that need clarity in production.
I work across GCP, AWS, Terraform, Kubernetes, DevSecOps, SRE, and observability, connecting architecture decisions to reliable delivery and day-two operations.
01Architect02Automate03Operate
Primary focusGoogle Cloud Platform
Engineering practiceTerraform · Kubernetes · SRE
Graduate studyMaster’s in Software Engineering
Current directionPlatform reliability and automation
Featured engineering work
SignalDesk Cloud Launch
A production-oriented GCP implementation documented from architecture and delivery through observability and cost control.
Engineering brief
From deployable application to operable cloud platform.
SignalDesk demonstrates a private Cloud Run and Cloud SQL data path, policy-checked Terraform delivery, keyless GitHub authentication, request-level observability, and budget alerts.
- Role
- Cloud platform architecture and implementation
- Platform
- GCP · Terraform · GitHub Actions
- Controls
- OPA · Trivy · Workload Identity Federation
- Outcome
- Deployed, testable, and documented workflow
Technical practice
Engineering across the platform lifecycle.
I focus on the systems and controls that make cloud environments understandable, repeatable, and supportable.
Infrastructure delivery
Terraform modules, policy checks, keyless CI/CD, and repeatable environment promotion.
Platform reliability
Service health, observability, incident signals, SLO thinking, and operational readiness.
Security by design
Least-privilege identities, private data paths, secrets management, and delivery controls.
Where I add value
Cloud engineering for teams moving from setup to dependable operation.
I translate workload requirements into infrastructure decisions, then validate those decisions through automation, security controls, and operational evidence.
Explore Google Cloud support for startups and small teamsStartups building on GCP
A practical cloud foundation that supports product delivery without premature platform complexity.
Small engineering teams
Infrastructure automation and operational visibility that reduce manual work and production uncertainty.
Growing cloud environments
Clearer ownership, safer delivery, and reliability practices that scale with the workload and team.
Engineering development
Master’s student in Software Engineering
Graduate study strengthens how I approach software design, testing, systems architecture, and the long-term maintainability of cloud platforms.
Available for cloud engineering opportunities