Independently design and implement cloud-native infrastructure on GCP, including networking, compute, storage, and IAM configurations
Job Summary
Independently design and implement cloud-native infrastructure on GCP, including networking, compute, storage, and IAM configurations.
Support AI/ML workloads by provisioning and managing services such as Vertex AI, BigQuery ML, and Cloud Functions, enabling scalable model training, deployment, and monitoring.
We strive for a culture in which we are empowered to excel together every day.
Matching Summary
Independently design and implement cloud-native infrastructure on GCP, including networking, compute, storage, and IAM configurations.
Skills & Requirements
Must-have
Google Cloud Platform (GCP)
Infrastructure as Code (IaC)
CI/CD pipelines
Python or Java scripting
Containerization (Docker)
Kubernetes or GKE
Cloud networking and IAM
Nice-to-have
AI/ML tooling exposure
MLOps principles understanding
Proactive improvement recommendations
Knowledge sharing and documentation
Continuous learning culture
Key Requirements
Bachelor’s degree or equivalent in Computer Science, Engineering, or related field
Solid experience in cloud engineering, DevOps, or infrastructure operations
Hands-on experience with Terraform or Deployment Manager
Exposure to AI/ML tooling such as Vertex AI, MLflow, or Kubeflow