Cloud Platform Engineering
Own the Google Cloud / Kubernetes platform end to end: multi-region GKE, Terraform and GitOps, networking and load balancing, observability, on-call and RCA — for the product teams that build on it.
- GKE
- Terraform
- Argo CD
Cloud PlatformCloud SecurityDevSecOpsSRE
Reply within 24 hours · Onsite, hybrid or remote · EU Blue Card eligible
I am looking for a permanent senior role in Germany or the DACH region — onsite, hybrid or remote — as a Cloud Platform Engineer, Cloud Security Engineer or Cloud Architect. My home ground is Google Cloud: designing and running secure, reliable, cost-efficient platforms on GKE, with production AWS and Azure experience where a multi-cloud estate needs it.
With 12+ years of hands-on experience, I architected a mission-critical, multi-region cloud platform from the ground up that withstood a third-party DDoS resilience test and sustained the peak traffic of the FIFA World Cup 2026. I run it in production for 5+ product teams in parallel — with multi-region architecture, secure CI/CD and automated observability at the core.
Security is part of the platform, not a layer on top: least-privilege IAM, Workload Identity, Cloud Armor WAF, policy-as-code, secrets and key management, vulnerability triage. Cost is an architecture input too — a cross-cloud FinOps review I led cut spend by 40% with SLOs fully intact. On the AI side I run RAG and LLM workloads securely on GCP with guardrails and EU AI Act / GDPR governance.
I write things down: runbooks, architecture decision records, incident RCAs and onboarding guides that other teams actually use — plus internal Google Cloud enablement for 150+ engineers. If your team runs on Google Cloud or is moving there, and you need someone who will own the platform and its security in production, let's talk.
Actively relocating to Germany & the DACH region — clear and straightforward for employers.
4 years living and working legally in the EU (Greece) — a straightforward EU Blue Card case for a German employer.
Notice period 2 months; on-site within 1–3 months of offer, remote or hybrid start earlier.
Qualified specialist (12+ years, recognized university degree) — EU Blue Card via employer sponsorship; open to relocation support.
Foreign degree officially evaluated by KMK/ZAB as equivalent to a German Bachelor-level degree.
Three shapes the role can take — I have done all three in production at Deutsche Telekom.
Own the Google Cloud / Kubernetes platform end to end: multi-region GKE, Terraform and GitOps, networking and load balancing, observability, on-call and RCA — for the product teams that build on it.
Least-privilege IAM, Workload Identity, zero-trust access, Cloud Armor WAF, policy-as-code, secrets and key management, vulnerability triage — security built into the platform, not bolted on.
Landing zones, GCP-first or multi-cloud reference architectures, resilience and DR patterns, and cost governance that cuts spend (40% in the last review) without trading away SLOs.
Selected reference highlights from LinkedIn recommendations and direct employment references.
Deep technical expertise in Google Cloud applied in a hands-on, practical way. Structured and methodical work, calm and solution-oriented under pressure. Brings stability, clarity, and reliability — exactly what you need from a technical counterpart.
Impressive technical depth in GCP across the entire stack — load balancing, GKE, GitOps, Terraform, and infrastructure automation. Structured, reliable, and fast delivery. Calm and solution-oriented in urgent situations, highly motivated and well-respected colleague.
Strong automation skills, solid JavaScript expertise, fast ramp-up, and the ability to deliver high-quality work independently and on time while reliably supporting deployments and clarifying open questions.
Driving force behind many initiatives, eager to improve processes, contribute beyond direct responsibilities, and create visible impact across teams and the organization.
Deep GCP and DevOps expertise with major impact on reliable, scalable systems and fast, safe iteration on AI features, including LLM and RAG solutions.
Excellent programming skills with the ability to understand and build complex systems and architectures, paired with clear communication and strong technical collaboration.
Outstanding Python and JavaScript skills, high-quality delivery, strong Kubernetes troubleshooting, and robust DevOps implementation across CI/CD and Docker.
Strong automation engineering, practical documentation, solid database and Python skills, and high communication ability across both team and management.