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Job Description

GCP Architect

Location : Bangalore, India


Experience : 12+ years (16 years preferred)


Role Type : Full-time, Senior Architect


Role Overview :

We are seeking a highly experienced
GCP Architect
with deep expertise in designing, implementing, and managing enterprise-grade solutions on Google Cloud Platform. The ideal candidate will have strong multi-cloud exposure (AWS, Azure) and proven success in building scalable, secure, and AI-driven architectures. This role requires hands-on experience with GKE, Vertex AI, Anthos, and advanced DevOps practices.

Key Responsibilities :

- Architect and implement
high-availability systems
on GCP leveraging GKE, Cloud Run, Cloud Functions, and Compute Engine.

- Design and manage
hybrid/multi-cloud observability platforms
using Anthos and Google Cloud Operations Suite.

- Deploy
AI/ML models with Vertex AI
for predictive monitoring, incident management, and self-healing systems.

- Build
real-time telemetry pipelines
using Pub/Sub, Dataflow, and BigQuery for large-scale event ingestion.

- Ensure
security and compliance
by implementing Apigee, Cloud Armor, IAM, and Binary Authorization.

- Lead
enterprise CI/CD pipeline design
using Cloud Build, Cloud Deploy, and Terraform for zero-downtime rollouts.

- Drive
cost optimization strategies
by analyzing BigQuery billing exports and identifying underutilized resources.

- Collaborate with cross-functional teams to define
cloud migration strategies
, disaster recovery, and global content delivery.

Required Skills :

-
Google Cloud Platform (GCP) :

1. Compute : GKE (Autopilot/Standard), Cloud Run, Cloud Functions, App Engine

2. Storage & Databases : Cloud SQL, Cloud Spanner, Firestore, Bigtable

3. Networking : VPC, Cloud Load Balancing, Cloud Armor, Cloud DNS, Cloud VPN

4. Data/AI : Vertex AI, BigQuery ML, Pub/Sub, Dataflow, Dataproc, Looker

5. DevOps : Cloud Build, Artifact Registry, Anthos, Cloud Deploy, Secret Manager

-
Multi-Cloud Expertise :

1. AWS (EKS, Lambda, S3)

2. Azure (AKS, Functions, Key Vault)

-
DevOps & IaC Tools :
Terraform, Pulumi, Ansible, Jenkins, GitHub Actions, Helm, Kustomize

-
Programming :
Python (Advanced), Bash, SQL, Java, Go (Basic)

Certifications (Preferred) :

- GCP Professional Machine Learning Engineer (2025)

- AWS Certified AI Cloud Practitioner (2025)

- PMP Project Management Professional (2025)

- AWS Solution Architect Associate (2024)

- Azure Administrator Associate (2024)

Education :

- MBA in Project Management Indian School of Business, Mumbai (2017)

- BCA in Computer Applications Dr. CV Raman University, Delhi (2014)

Ideal Candidate :

- Strong background in
cloud-native architecture
and
AI-driven DevOps
.

- Proven ability to
reduce MTTR
and improve system resilience through automation.

- Excellent communication skills with ability to lead cross-functional teams.

- Hands-on expertise in
multi-cloud environments
and
enterprise-scale deployments
.

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