Client: MNC

Payroll: VARITE INDIA PVT LTD

Note: Moved to direct payroll after 3-6 months, subject to BGV report Clearance.

Note: You can share the updated cv and UAN History or one payslip of the latest two years of exp to process the profile without any delay( Mail : [email protected]).

( Verification of the UAN History or one payslip is to avoid fake profiles)

Requirement: GCP Architect

Exp: 8+ Years

Location: Any Location in INDIA(WFO)

Max NP: Serving within 30days

Exp: 8 Yrs

Location BANGALORE

Required Skills:

Terraform

• Digital : Apache Spark

- Apache Hadoop
- Apache Airflow; dbt
- Git / GitHub
- Digital : Docker
- Digital : Kubernetes
- Google Cloud Engine
- Google Kubernetes Engine (GKE)
- Google Cloud Run
- Google Cloud Functions
- Google VPC Networking
- Google Cloud Load Balancing
- Google Cloud IAM
- Google Secret Manager
- Google Cloud Armor
- Google Cloud Storage (GCS)
- Google Cloud SQL
- Google Cloud Spanner
- Bigtable
- Firestore
- Google BigQuery
- Google Pub/Sub
- Google Dataflow
- Google Dataproc
- Google Cloud Build
- Python
- TypeScript
- JavaScript; go
- Core Java; sql
- Digital : NOSQL
- REST
- GraphQL

Good to have Skills: VPC;subnets; Cloud NAT; Load Balancing; Private Service Connect; Cloud Armor (WAF); VPN/Interconnect; IAP;VPC Service Controls; Org Policies; KMS; Secret Manager; IAM; Cloud Monitoring; Cloud Logging; Error Reporting; Trace

Responsibilities





Deliver production-ready GCP workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL, and Spanner.

Write declarative infrastructure as code and configure automated CI/CD pipelines using Terraform, Cloud Build, and Git.

Execute workplace promotion steps, fix configuration drift, and apply technical security guardrails.

Configure identity and security controls including IAM, service accounts, and Organization Policies.

Store and rotate credentials using Secret Manager, Cloud KMS, and VPC Service Controls.

Build VPCs, custom subnets, Cloud NAT, and Cloud Load Balancing topologies.

Configure Private Service Connect and Interconnect to establish secure, private cross-enterprise channels.

Set up Cloud Monitoring dashboards, log sinks, Error Reporting metrics, and alerting thresholds.

Develop batch and streaming data processing pipelines using BigQuery, Dataflow, Composer, and Dataproc.

Build data ingestion layers to connect real-time RAG applications and vector databases to backend feature stores.

Write automation scripts and multi-system integrations using Cloud Functions, Cloud Run, and RESTful APIs.

Package applications into Docker containers and manage deployments inside Google Kubernetes Engine.

Participate in incident response rotations, troubleshoot runtime errors, and write blameless postmortems.

Update deployment standards, technical playbooks, and system documentation.

📌 GCP Architect (Bengaluru)
🏢 GC Technologies
📍 Bengaluru