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