Senior Consultant | Cloud Engineer | Bengaluru | Engineering | Hybrid Cloud Engineering
• Job requisition ID : 116040
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP

Sr Team Lead | Engineering, AI & Data – Engineering | GCP Cloud Engineer

Location: Bangalore

The team

Engineering helps empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data

Your work profile

We are looking for an experienced Google Cloud Platform (GCP) Cloud Engineer with 5–8 years of hands-on experience in designing, implementing, managing, and

supporting cloud infrastructure and enterprise workloads on Google Cloud Platform.

The candidate should have solid expertise in GCP infrastructure services, networking, security, compute, storage, automation, Infrastructure as Code (IaC), and cloud

operations. The role involves implementing cloud solutions, managing production environments, troubleshooting complex technical issues, and ensuring high availability,

security, performance, and cost optimization.

A. GCP Cloud Infrastructure & Administration

Design, deploy, configure, and manage GCP infrastructure • components.

- Hands-on experience with Compute Engine, Persistent Disks, Cloud Storage, Cloud SQL, and Google Kubernetes Engine (GKE).

- Manage GCP projects, folders, organizations, resource hierarchy, and billing accounts.

- Configure and manage VPC networks, subnets, firewall rules, routes, Cloud NAT, and load balancers.

- Implement hybrid connectivity between on-premises data centers and GCP using Cloud VPN and Cloud Interconnect.

- Manage VM provisioning, resizing, snapshots, images, patching, and lifecycle operations.

- Implement high availability, backup, disaster recovery, and business continuity solutions.

B. Networking & Security

- Configure and manage VPC, Shared VPC, VPC Peering, Private Service Connect, and Cloud DNS.

- Implement IAM roles, service accounts, organization policies, and least-privilege access.

- Configure Cloud Armor, Cloud NAT, Cloud VPN, and firewall policies.





- Implement security controls using Security Command Center and Cloud KMS.

- Ensure compliance with enterprise security standards and regulatory requirements.

- Implement encryption at rest and in transit.

C. Infrastructure as Code & Automation

- Develop and maintain Infrastructure as Code using Terraform.

- Automate infrastructure provisioning and configuration management.

- Develop scripts using Python, Bash, or PowerShell.

- Implement CI/CD pipelines using Cloud Build, Jenkins, or GitHub Actions.

- Automate routine operational tasks, monitoring, patching, and reporting.

D. Kubernetes & Container Management

- Deploy and manage containerized workloads using Docker and GKE.

- Configure GKE clusters, node pools, namespaces, networking, and autoscaling.

- Implement workload security, resource quotas, and cluster monitoring.

- Troubleshoot Kubernetes deployment, networking, and performance issues.

- Experience with Helm and Kubernetes deployment automation is desirable.

E. Monitoring, Operations & Troubleshooting

- Configure Cloud Monitoring, Cloud Logging, alerting policies, and dashboards.

- Monitor infrastructure availability, performance, capacity, and utilization.

- Troubleshoot production incidents involving compute, networking, storage, and application infrastructure.

- Perform root cause analysis (RCA) and implement corrective and preventive actions.

- Manage incident, problem, and change management processes.

- Support 24x7 production environments and participate in on-call rotations.

- Identify opportunities for performance optimization and cloud cost reduction.

F. Migration & Cloud Transformation

- Support migration of workloads from on-premises and other cloud platforms to GCP.

- Experience with VM migration using Migrate to Virtual Machines.

- Support database and application migration activities.

- Perform workload discovery,



dependency assessment, migration planning, and execution.

- Implement cloud landing zones and enterprise infrastructure foundations.

Key skills required:

Education-Bachelors in Engineering

- Technology Area Required Skills
- Cloud Platform Google Cloud Platform (GCP)
- Compute Compute Engine, Instance Groups, Managed Instance Groups
- Storage Cloud Storage, Persistent Disk, Filestore
- Database Cloud SQL, AlloyDB, BigQuery (basic understanding)
- Networking VPC, Shared VPC, VPN, Interconnect, Cloud NAT, Load Balancing, Cloud DNS
- Security IAM, Service Accounts, KMS, Cloud Armor, Security Command Center
- Containers Docker, Kubernetes, GKE, Helm
- Automation Terraform, Python, Bash
- CI/CD Cloud Build, Jenkins, GitHub Actions
- Monitoring Cloud Monitoring, Cloud Logging, Alerting
- Migration Migrate to Virtual Machines, Database Migration Service
- Operations Incident Management, Problem Management, RCA, DR
- 5–8 years of overall IT infrastructure/cloud engineering
- Minimum 3–5 years of hands-on experience working with GCP.
- Strong experience in managing enterprise-grade cloud infrastructure and production environments.
- Good understanding of networking, Linux administration, Windows Server, and virtualization.
- Experience with Terraform and infrastructure automation.
- Exposure to cloud migration, high availability, disaster recovery, and business continuity.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to work independently and collaborate with application, database, security, and infrastructure teams.

- Preferred Certifications

- Google Associate Cloud Engineer.
- Google Professional Cloud Architect.
- Google Professional Cloud Network Engineer.
- Google Professional Cloud DevOps Engineer.
- Strong technical troubleshooting and analytical capabilities.
- Good communication and stakeholder management skills.
- Ability to handle production-critical environments.
- Experience working in ITIL-based service management environments.
- Ability to prepare technical documentation, HLDs, LLDs, SOPs, and operational runbooks.

Proactive approach towards automation, operational excellence, and continuous improvement.

📌 Senior Consultant | Cloud Engineer | Bengaluru | Engineering | Hybrid Cloud Engineering
🏢 Deloitte
📍 Bengaluru