GCP Architect

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 : manpreet@gctechsoft.com).
( 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 environment 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.

Work arrangement
No