Appealing Points: Lead Enterprise GCP IAM Strategy – Design and implement secure, scalable IAM frameworks across Google Cloud using least-privilege principles, organization policies, and identity governance. Build Secure Cloud-Native Solutions – Develop automation and cloud-native applications using GCP services, Terraform,
Role Overview We are seeking an experienced Technical Delivery Manager to lead and coordinate the end-to-end delivery of cloud engineering programmes on Google Cloud Platform. This role requires a balance of strong technical depth across GCP, Kubernetes,
Role Overview We are seeking an experienced Vertex AI Engineer and Cloud Delivery Lead to drive the design, deployment, and operationalization of machine learning solutions on Google Cloud. This role bridges AI/ML engineering and cloud delivery,
Role Overview We are looking for a talented GKE Administrator and Cloud Delivery Engineer to manage, scale, and evolve our Google Kubernetes Engine platform. The successful candidate will combine deep Kubernetes expertise with strong cloud delivery
Role Overview We are looking for a skilled Cloud Delivery Engineer with deep expertise in Terraform and Ansible to automate, provision, and deliver infrastructure on Google Cloud Platform. This role is central to enabling fast, reliable,
Role Overview We are seeking an experienced Technical Delivery Manager to lead and coordinate the end-to-end delivery of cloud engineering programmes on Google Cloud Platform. This role requires a balance of strong technical depth across GCP, Kubernetes,
Appealing Points: Own Enterprise GCP Infrastructure as Code (IaC) – Design and build reusable Terraform modules and Ansible automation to manage large-scale GCP environments including GKE, IAM, networking, and databases. Drive End-to-End Cloud Automation & CI/CD – Integrate infrastructure
Appealing Points: Lead Enterprise GCP Cloud Programmes – Own end-to-end delivery of large-scale Google Cloud initiatives, managing technical strategy, execution, and successful go-live across multiple workstreams. Drive Cross-Functional Technical Leadership – Lead cloud engineers, IAM specialists, GKE administrators,
Appealing Points: Lead End-to-End MLOps on Vertex AI – Design and implement scalable ML pipelines covering data ingestion, training, deployment, monitoring, and model lifecycle management on Google Cloud. Build Enterprise-Grade AI Platforms – Work with Vertex