Google Cloud Platform Architect
Description For Google Cloud Platform Architect
Broadcom is seeking a Google Cloud Platform Architect to work in their FinTech division, which provides electronic payments and banking solutions in SaaS using AI/ML to determine risk. This senior role requires a minimum of 12 years of experience in cloud architecture, with at least 8 years focused on GCP.
The ideal candidate will be responsible for designing, implementing, and managing cloud-based solutions on the Google Cloud Platform to meet the strategic needs of the organization. They will contribute to standards, processes, automation, and operational excellence initiatives, while being customer-centric and enjoying building, operating, and improving SaaS ecosystems.
Key responsibilities include:
- Designing, delivering, and refining cloud services across IaaS and PaaS GCP services
- Researching and identifying the right tools and technology stack based on scalability, latency, and performance needs
- Assessing technical feasibility through rapid PoCs and finding technological solutions for gaps
- Working with various GCP services including networking, IAM, organization structure, security, monitoring, logging, compute, storage, and caching solutions
- Automating deployment processes using Infrastructure as Code (IaC) tools
- Creating or contributing to IaC CI/CD pipelines following DevOps practices
- Ensuring cloud solutions adhere to security best practices and compliance requirements
- Collaborating with cross-functional teams and participating in customer/internal architecture discussions
The role requires proficiency in programming/scripting languages such as Python, Go, or similar, as well as extensive experience with Kubernetes, modern DevOps tools, and practices. The candidate should be well-versed in transitioning teams from legacy to modern architecture in production and able to work in a fast-paced, dynamic environment.
This position offers an opportunity to work on cutting-edge cloud technologies in the financial technology sector, contributing to mission-critical production ecosystems and driving innovation in cloud architecture.
Responsibilities For Google Cloud Platform Architect
- Design, deliver and refine cloud services consumed across IaaS, and PaaS GCP services
- Research and identify the right tools and technology stack based on scalability, latency, and performance needs
- Assess technical feasibility by building rapid PoCs, and finding technological solutions for gaps
- Automate deployment processes using Infrastructure as Code (IaC) tools
- Create or contribute to IaC CI/CD pipelines following DevOps practices
- Ensure cloud solutions adhere to security best practices and compliance requirements
- Troubleshoot and resolve technical issues related to cloud infrastructure and services
- Collaborate with cross-functional teams to deliver robust cloud solutions
- Prepare and present regular reports on cloud infrastructure status, performance, and improvements
- Collaborate with cloud vendors, customers, and internal teams for delivery
- Participate in an on-call rotation and willingness to participate in escalated issues as required
Requirements For Google Cloud Platform Architect
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- Minimum 12 years of experience in cloud architecture, with at least 8 years focused on GCP
- 5+ years of experience working in a Kubernetes environment
- 5+ years of experience directly building Kubernetes deployments, using Helm Charts leveraging rollout methodologies such as A/B, Blue Green, and/or Canary
- 5+ years of experience with modern DevOps tools and practices including Git, Jenkins, automated testing, continuous integration, and continuous deployment
- 5+ years of experience with mission-critical production ecosystems
- 5+ years of experience analyzing and troubleshooting large-scale, distributed production systems
- Proficiency with programming/scripting languages such as Python, Go, or similar
- Strong knowledge of networking concepts, including VPC, subnetting, VPN, DNS, and load balancing
- Deep understanding of GCP services including Kubernetes Engine, Compute Engine, App Engine, Cloud Storage, BigQuery, Pub/Sub, and others
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