Job Title: Multi-Cloud Platform Engineer (GCP & Azure)

Experience: 4–10Years
Location: Mumbai – Santacruz (Kalina) / Mahape (Navi Mumbai)
Employment Type: Full-Time

Job Summary

We are looking for an experienced Multi-Cloud Platform Engineer to build, automate, and manage secure, scalable cloud infrastructure across Google Cloud Platform (GCP) and Microsoft Azure.

The role involves cloud infrastructure automation, Kubernetes, CI/CD, Terraform, DevOps, monitoring, and production deployment of AI/ML and Generative AI applications. The ideal candidate should have strong hands-on GCP experience along with working experience in Azure.

Key Responsibilities

- Design, build, and maintain scalable and secure cloud infrastructure across GCP and Azure.
- Build and manage cloud environments, landing zones, shared services, and network configurations.
- Provision and manage GCP services such as Compute Engine, GKE, Cloud Run, Cloud Workflows, and Vertex AI.
- Build infrastructure and deployment pipelines to take Generative AI applications from POC to production.
- Develop Infrastructure as Code (IaC) using Terraform for automated cloud provisioning.
- Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, and Docker.
- Manage Kubernetes environments, including GKE and AKS, cluster scaling, deployment, and operational support.
- Implement cloud monitoring, logging, alerting, and observability using Prometheus, Grafana, GCP Cloud Monitoring, and Azure Monitor.
- Manage cloud security, IAM, Azure Entra ID, access controls, and governance policies.
- Perform cloud cost optimization, resource monitoring, rightsizing, and FinOps activities.




- Automate infrastructure operations and workflows using Python or Bash scripting.
- Troubleshoot production issues, perform root cause analysis (RCA), and ensure platform stability.
- Collaborate with AI/ML, Data Engineering, and Digital teams to support cloud-based applications and platforms.

Required Skills

- 4–7 years of experience in Cloud Engineering, Platform Engineering, DevOps, or SRE.
- Solid hands-on experience with Google Cloud Platform (GCP) and working knowledge of Microsoft Azure.
- Good knowledge of GCP services: Compute Engine, GKE, Cloud Run, Cloud Build, Cloud Scheduler, and Vertex AI.
- Strong hands-on experience with Terraform and Infrastructure as Code (IaC).
- Experience managing Kubernetes platforms (GKE / AKS) and Docker containers.
- Hands-on experience with CI/CD tools such as GitHub Actions and Jenkins.
- Scripting knowledge in Python or Bash.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Cloud Monitoring, and Azure Monitor.
- Understanding of cloud networking, IAM, security, and access management.
- Knowledge of cloud cost optimization and FinOps practices.
- Strong troubleshooting, production support, and RCA skills.

Good to Have

- Experience with Vertex AI, Azure AI Foundry, MLOps, or Generative AI platform deployment.
- Exposure to Agentic AI, LLM, RAG, and AI application infrastructure.
- GCP or Azure cloud certifications.
- Experience with production-grade multi-cloud environments.

Education

BE / BTech / MCA / MS / BS in Computer Science, Information Technology, or a related discipline.

Pay: ₹600,000.00 - ₹2,900,000.00 per year

Work Location: In person

📌 Platform Engineer (Mumbai)
🏢 FuGenTex Solutions
📍 Mumbai