Architect and manage scalable, secure, and cost-efficient cloud platforms using GCP services.
Design and implement infrastructure using Infrastructure as Code tools using Terraform.
Drive FinOps practices to improve cloud cost governance - implementing cost tracking, forecasting, budget alerts, and automated cost controls.
Optimise BigQuery performance through query tuning, partitioning, clustering, and table lifecycle management.
Define and promote best practices for BigQuery usage and cost-efficient data architecture.
Set up end-to-end observability using GCP Operations Suite (Cloud Monitoring, Logging, Trace, Profiler, Error Reporting).
Build custom dashboards using Cloud Monitoring and Grafana; implement SLOs, SLIs, and automated alerts.
Drive DevSecOps pipelines using CI / CD tools like Cloud Build, GitHub Actions, Jenkins, and integrate quality / security gates.
Hands-on experience with containerization technologies such as Docker and Kubernetes (GKE).
Design and implement scalable data pipelines using GCP data services such as Cloud Storage, Pub / Sub, Dataflow, BigQuery, and Cloud Composer.
Automate ingestion, transformation, and loading (ETL / ELT) processes across structured and unstructured data sources.
Optimise pipeline performance and cost by leveraging Dataflow templates, streaming strategies, and efficient resource configurations.
Ensure data pipeline observability through integration with Cloud Logging, Monitoring, and custom alerting.
Manage and configure services like Cloud Run, GKE, Cloud Functions, Pub / Sub, Cloud SQL, and Dataproc.
Write automation and scripting in Python, Bash, and YAML for deployments, monitoring, and infrastructure workflows.
Build, secure, and deploy microservices architectures using API Gateway, service meshes, and IAM roles.
Collaborate with cross-functional teams, manage client expectations, and deliver in both Agile and Waterfall models.
Lead incident resolution efforts and post-incident analysis using observability data.
Maintain secure identity and access management (IAM), VPC, firewall rules, and service accounts across projects.
Requirements :
GCP Expertise : In-depth knowledge of Google Cloud Platform services, particularly BigQuery, Databricks, and Kubernetes.
Data Engineering : Experience with data modelling, ETL processes, and data warehousing.
Performance Tuning : Proven track record in optimising data processing and query performance in BigQuery.
Kubernetes Management : Proficient in deploying and managing containerised applications using Kubernetes.
Cost Management : Familiarity with GCP billing and cost management tools to monitor and optimise cloud expenditure.
Monitoring Tools : Experience with GCP monitoring and logging tools (e. g., Stackdriver, Cloud Monitoring).
Years of Experience : 12+ years' experience, 5 to 7 years of experience in GCP Solution Architect.
Education Qualification : B. E. / B. Tech, BCA, MCA equivalent, GCP - Professional Cloud Architect.
(ref : hirist.tech)
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Architect Cloud Platform • Bangalore,Mumbai,Pune
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