Join our Technology & Transformation practice as a Senior Consultant specializing in GCP DevOps. You will be instrumental in guiding companies to unlock value from their data through strategic implementation services. Our team focuses on business intelligence, data management, performance management, and cutting-edge technologies like big data, cloud, and machine learning.

This role is based in Pune and offers a hybrid working model, contributing to our Pan India presence.

Design and implement robust GCP Landing Zones and multi-project architectures, incorporating folders and organization policies.

Provision and manage GCP resources efficiently using Infrastructure as Code (IaC) tools such as Terraform, Google Cloud Deployment Manager, and Ansible.

Configure auto-scaling, auto-provisioning, and optimize resource utilization across various GCP services including Managed Instance Groups, GKE autoscaling, and Cloud Run.

Implement comprehensive network architectures, including VPCs, subnets, routes, firewall rules, and Private Service Connect.

Manage identities, roles, and policies with Google Cloud IAM, adhering to best practices for security and compliance.

Set up advanced monitoring and observability using Cloud Monitoring and Cloud Logging, with integration capabilities for third-party tools like Datadog, Dynatrace, and Splunk.

We are seeking candidates with a minimum of 5 years of experience in GCP Infrastructure roles. A strong background in provisioning GCP infrastructure via IaC tools like Terraform, Deployment Manager, and Ansible is essential.

Expertise in GCP networking, IAM, and security configurations, including VPCs, subnets, routes, firewall rules, Private Service Connect, Cloud KMS, and VPC Service Controls is crucial. Experience with multi-project GCP environments and governance frameworks is highly valued.

Proficiency in scripting languages such as Shell, Python, and PowerShell for automation is required. Familiarity with core Google Cloud Native Services and exposure to cost optimization and performance tuning techniques are also key requirements. A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline is expected.