Job Title : GCP Cloud & DevOps Engineer (senior)

Key Responsibilities :

- End-to-end architecture design & deploy production-ready three-tier system using GCP best practices

- Support and tune AI/ML workloads (Vertex AI, Kubeflow) to ensure high performance and efficient resource utilization

- Knowledge of microservices deployment

- Managing secure external integrations

- Implementing complete Infrastructure as Code (IaC) with Terraform or Google deployment manager

- Designing and setting up CI/CD pipelines

- Establishing monitoring, logging, alerting

- Implementing strong measures of security, and governance

- Actively perform cost-benefit analysis and performance tuning to ensure we aren't over-provisioning or wasting budget

Skill Set :

- Compute & Orchestration GKE (Google Kubernetes Engine), Compute Engine, Cloud Run.

- Infrastructure as Code Mastery of Terraform or GCP Deployment Manager

- Networking & Security Cloud Armor, Cloud VPN/Interconnect, Identity-Aware Proxy (IAP), and Shared VPCs, DNS, TCP/IP, Load Balancing

- AI/ML Tools Vertex AI, BigQuery ML, and experience with GPU/TPU provisioning.

- Data & Integration Cloud SQL, Firestore, BigQuery, and Apigee or API Gateway.

- CI/CD Tools Jenkins, Cloud Build, GitLab CI, GitHub Actions, or ArgoCD.

- Certifications : Professional Cloud Architect or Professional Cloud DevOps Engineer (preferred)

Soft Skills :

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

- Ability to work independently and manage production environments.

- Proactive approach to automation and optimization.