About the role
As the DevOps Architect, you will lead the architecture, automation, and continuous optimisation of our enterprise Google Cloud infrastructure. You will define our global DevOps strategy, enforce Zero Trust security standards, design resilient CI/CD frameworks, and ensure high-performance execution for our agentic AI engines and multi-tenant SaaS platforms across Fortune 500 deployments.
Responsibilities:
- GCP Infrastructure Architecture: Design, deploy, and maintain highly resilient, scalable Google Cloud Platform (GCP) infrastructure using Infrastructure as Code (Terraform, Pulumi, Ansible).
- CI/CD and Automated Delivery: Architect scalable CI/CD pipelines (GitHub Actions, Cloud Build, ArgoCD) for zero- downtime deployment of microservices, distributed data streams, and AI/ML model execution pipelines.
- Kubernetes and Container Orchestration: Lead enterprise multi-cluster Kubernetes deployments on Google Kubernetes Engine (GKE), Anthos / Service Mesh architecture, and container security for high-throughput enterprise workloads.
- Security, Compliance and FinOps: Drive Zero Trust architecture, HashiCorp Vault secrets management, vulnerability monitoring (Trivy/Snyk), SOC 2/ISO compliance, and FinOps cloud cost optimisation across GCP environments.
- Observability and Reliability Engineering: Establish full-stack telemetry (Google Cloud Operations Suite / Stackdriver, Prometheus, Grafana, Datadog) to enforce high-availability SLAs, proactive alerting, and low MTTR.
- Technical Leadership and Governance: Mentor engineers across DevOps and SRE domains, foster a culture of continuous automation, and align infrastructure strategy with product roadmaps.
Requirements:
- 12-15 years of progressive experience in DevOps, Cloud Architecture, and Systems Engineering supporting high- scale enterprise SaaS or AI/ML product environments.
- Cloud Platforms: Deep, expert-level hands-on proficiency strictly centred on Google Cloud Platform (GCP).
- Expertise across core GCP services including GKE, Cloud Run, Compute Engine, BigQuery, IAM, Artefact Registry, and Vertex AI infrastructure support.
- IaC and Containers: Mastery of Terraform, Pulumi, Docker, Google Kubernetes Engine (GKE), Helm, and Service Mesh.
- Automation and MLOps: Advanced hands-on experience with GitHub Actions, ArgoCD, Python, Go, or Bash, alongside supporting distributed compute engines and pipelines (Spark, Cloud Composer / Airflow).
- Mandatory Certifications: Google Cloud Certified Professional Cloud Architect and/or Google Cloud Certified Professional DevOps Engineer.