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

Organization: L&T; Finance (LTF)
Department: AI Scaling Platform
Experience: 4–7 Years
Location: Santacruz (Kalina), Mumbai / Mahape, Navi Mumbai
Employment Type: Full time
Role: Platform Engineering / Cloud DevOps / SRE

Job Summary

L&T; Finance (LTF) is looking for an experienced Platform Engineer with strong hands-on expertise in Google Cloud Platform (GCP) and Microsoft Azure.

The candidate will be responsible for designing, building, automating, and managing secure and scalable multi-cloud infrastructure to support AI/ML, Data Engineering, and Digital platforms.

The role involves Infrastructure as Code (Terraform), Kubernetes, CI/CD automation, cloud security, monitoring, and cost optimization. The candidate will also support the deployment of Generative AI Proof of Concepts (PoCs) into production environments.

Key Responsibilities

- Design, build, and maintain scalable and secure cloud infrastructure across GCP and Microsoft Azure.
- Develop and manage multi-cloud infrastructure using Terraform.
- Provision and manage GCP services such as Compute Engine, GKE, Cloud Run, Cloud Workflows, and Vertex AI.
- Support infrastructure deployment for Generative AI applications and production workloads.
- Manage Kubernetes environments, including GKE and AKS.
- Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, and Docker.
- Automate infrastructure provisioning and operational activities using Python or Bash scripting.
- Implement monitoring, 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 rightsizing, and FinOps activities.
- Support Azure services such as Microsoft Fabric, Power BI,



and Azure AI Foundry.
- Troubleshoot infrastructure and platform issues, perform root cause analysis (RCA), and implement corrective actions.
- Collaborate with AI/ML, Data Engineering, and Digital teams to improve platform reliability and performance.
- Maintain technical documentation, operational runbooks, and deployment standards.

Required Skills & Technical Expertise

- 4–7 years of experience in Platform Engineering, Cloud DevOps, or SRE roles.
- Strong hands-on experience with Google Cloud Platform (GCP) and good experience with Microsoft Azure.
- Strong knowledge of GCP services:
- Compute Engine
- Google Kubernetes Engine (GKE)
- Cloud Run
- Cloud Build
- Cloud Scheduler
- Vertex AI
- Advanced hands-on experience with Terraform and Infrastructure as Code (IaC).
- Strong experience with Kubernetes, specifically GKE and AKS.
- Experience with CI/CD tools such as GitHub Actions and Jenkins.
- Hands-on experience with Docker and containerization.
- Scripting knowledge in Python or Bash.
- Experience with Prometheus, Grafana, GCP Cloud Monitoring, and Azure Monitor.
- Understanding of cloud networking, IAM, security, and access management.
- Knowledge of cloud cost optimization, resource monitoring, and rightsizing.
- Strong troubleshooting and problem-solving skills.

Good to Have

- GCP Associate or Professional Cloud DevOps Engineer certification.
- Microsoft Azure Administrator or Solutions Architect certification.
- Exposure to Vertex AI, MLOps, Azure AI Foundry, and AI/ML platform operations.
- Knowledge of Agentic AI, LLMs, RAG, and AI workflow orchestration.
- Certifications or practical exposure to Agentic AI and GKE.
- Experience working in financial services, banking, or NBFC environments.

Educational Qualification

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

Work Location: In person

📌 Platform Engineer (Mumbai)
🏢 FuGenTex Solutions
📍 Mumbai