GCP Architect

We seek a GCP Architect in San Francisco, CA (Hybrid mode). Please go through the job description for your reference. If you are interested, please apply here.

The client is clearly seeking a senior-level GCP architect who can not only design and implement cloud solutions but also ensure they are scalable, secure, and cost-optimized.

Core Priorities

• Expertise in Google Cloud Platform: Someone who understands GCP inside and outnot just one service, but the ecosystem (compute, storage, networking, data, AI/ML, etc.).
• Architectural Design: Ability to think high-level about system design (performance, HA, DR, security, cost).
• Hands-on with IaC & Automation: Terraform, Deployment Manager, scripting (Python/Bash)not just design, but implementation.
• Strong Data Engineering Experience: Familiarity with tools like BigQuery, Dataflow, Pub/Sub suggests the role might also involve building or maintaining real-time data pipelines or analytics platforms.
• AI/ML Awareness: Vertex AI inclusion suggests they might be dealing with ML workflows, model training, deployment pipelines, or even just supporting ML teams.
• Containerization & Kubernetes: Implies DevOps knowledge and likely experience with GKE or similar container orchestration in GCP.
  
  

The Client Wants a Senior-level, Hands-on Cloud Architect With

• Deep GCP knowledge,
• Solid infrastructure-as-code and automation background,
• Data engineering AI/ML familiarity,
• Strong Kubernetes experience,
• And someone preferably local to San Francisco and open to a hybrid work model.
  
  

Job Description

Cloud Platform Expertise: Deep understanding of Google Cloud Platform (GCP) services, including compute, storage, networking, databases, analytics, machine learning, and serverless offerings.

Architectural Design: Ability to design robust, scalable, secure, highly available, and cost-effective cloud solutions

Infrastructure as Code (IaC): Proficiency in automation tools like Terraform and Google Cloud Deployment Manager for defining and managing cloud resources programmatically

Scripting and Automation: Proficiency in scripting languages (Python, Bash, PowerShell) to automate cloud operations and deployments.

Technical Skills

• Expertise in Big Query, Dataflow, Pub/ Sub handling large datasets.
• Vertex AI and other GCP services
• Monitoring & Cost Optimization
• Containerization & Kubernetes
  
  

Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.