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
Continuous learning culture
Proactive improvement recommendations
Strong analytical and problem-solving skills
Independent work and ownership
Excellent communication and collaboration
Key Requirements
Solid experience in cloud engineering, DevOps, or infrastructure operations
Hands-on experience with infrastructure-as-code tools
Exposure to AI/ML tooling and MLOps principles
Bachelor’s degree or equivalent in Computer Science, Engineering, or related field