DevOps Architect

Job Description: We are seeking a highly seasoned, GCP DevOps/Data Architect at Ascendion designs and scales cloud-native architectures, builds CI/CD and MLOps pipelines, and integrates AI tools (like Copilot or Gemini) to optimize engineering. The hybrid, based roles demand extensive Google Cloud expertise, containerization, and data automation Experience: 10+ Years Technical Skills & Requirements: Design, build, and operate enterprise‑scale GCP platforms with strong focus on security, scalability, and operational excellence Manage and support Google Kubernetes Engine (GKE) clusters hosting both application and data ingestion / processing workloads Build and maintain CI/CD pipelines using Cloud Build for platform services, data pipelines, and containerized workloads Operate and manage Artifact Registry for container images and data‑related artifacts Provision and manage GCP infrastructure using Infrastructure as Code, supporting multiple environments (Dev, UAT, Prod) Design and maintain GCP networking for data platforms, including VPCs, Shared VPCs, load balancers, NAT, and private access Partner with data engineering teams to enable reliable deployment and operation of data pipelines, orchestration tools, and ingestion services Implement IAM, secrets management, and encryption controls to support secure access to data platforms and services Ensure platform observability for both infrastructure and data workloads using Cloud Monitoring and Cloud Logging Support production operations, perform troubleshooting, and participate in incident resolution for platform and data services Contribute to platform standards, documentation, and continuous improvement of DevOps and data‑enablement practices Key Responsibilities: 10+ years of experience in DevOps / Platform Engineering, primarily on Google Cloud Platform (GCP) Strong expertise in GCP Organization, Folder, and Project structures, governance, and environment isolation Advanced hands‑on experience with Google Kubernetes Engine (GKE), including private clusters and node pool management Experience supporting containerized data workloads (ingestion services, orchestration tools, batch or streaming jobs) on GKE Strong experience with Compute Engine and working knowledge of Cloud Run Extensive experience with GCP networking, including: VPC and Shared VPC design Cloud Load Balancing Cloud NAT, Private Google Access, and Cloud DNS Cloud VPN and Cloud Interconnect Hands‑on experience building CI/CD pipelines using Cloud Build Experience managing artifacts and container images using Artifact Registry Strong experience using Terraform to provision and manage GCP infrastructure Proficiency with Cloud IAM, service accounts, and workload identity Hands‑on experience with Cloud Monitoring and Cloud Logging, including dashboards and alerts for data pipelines Experience with Secret Manager and Cloud KMS Operational knowledge of Cloud Storage, including lifecycle policies and access controls Strong automation skills using Python, Bash, YAML, and gcloud CLI Soft Skills Ability to collaborate closely with data engineering and analytics teams Strong ownership mindset with focus on platform reliability and data availability Clear communication skills for working across DevOps, Data, and Security stakeholders Structured approach to problem‑solving in production environments Comfort operating in large‑scale, regulated, or enterprise data environments