GCP Solutions Architect

Job Details:

5 to 7 years of demonstrated experience deploying and supporting public cloud Infrastructure (GCP as primary) with hybrid cloud environments.

Lead the development of new capabilities or service offerings within AI-enabled Cloud Operations, Cloud FinOps, Containers/Kubernetes, and Cloud Automation (IaC, DevSecOps integration) with an Anything as a Services (XaaS) approach

Ability to manage many cases simultaneously, prioritizing appropriately.

Manage the cloud infrastructure environment through cross technology administration (OS, Storage, virtual networks, load balancers, IAM, policies), execution of scripting, and monitoring automation.

Technical lead and subject matter expert for GCP IaaS, serverless, Kubernetes (GKE), data, and microservices offerings

Experience with Cloud IaaS and DevOps Platforms like Terraform, Automation, or equivalent technology.

Ability to communicate with customers, developers, and other disciplines of systems administration.

Hands-on Experience and understanding of Google Cloud Infrastructure, primarily on the IaaS model.

Experience with any of the Configuration Management (Cloud shell, Jenkins, Ansible), Experience with Cloud Formation Templates, Terraform, etc.

In depth knowledge of key Google Cloud Platform services – GCE, GKE, GAE, GCS, Cloud SQL, VPC, Resource Manager, Stack Driver, Cloud CDN, Cloud IAM, GSuite, Infrastructure as Code etc.

Experience in core Google Cloud Platform Services (e.g., IAM, Service Accounts & Keys, Encryption Keys, Object Storage, Logging, Monitoring, Pub/Sub, Functions).

Hands-on Experience with GCP Foundation, Storage bucket, Backup, Disaster Recovery, VPC networks, IAM, Stack driver, Troubleshooting, and Cloud Security.

Experience with managed code or scripting competency (PowerShell, Python, JSON, and YML).

Understand the requirement & Plan / Design / Execute new strategy / projects in GCP.

Experience with continuous Cost Optimization in GCP.

Expertise in design and implementation of scalable secure cloud architecture based on Google Cloud Platform

Expertise in end-to-end development of a GCP cloud platform using GCS Dataflow Bigquery Big table PubSub Dataprep

Hands-on Experience in managing on-premises and public cloud infrastructure in a hybrid environment.

Design and build cloud-native solutions and data platforms that are highly reliable, available scalable, secure, performant, sustainable and cost optimized using well-architected frameworks and guidelines.

Apply technical knowledge and latest technology advancement to build solution architecture, integration platforms and migration/modernization using modern technology choices and design patterns applying.

Build cloud practice collaterals, cloud reference architecture, reusable components/services, solution frameworks, cloud migration/modernization accelerators, identity and deploy suitable 3rd party tools.