GCP Platform Architect

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 21 Google Cloud Partner of the Year awards in the past 10 years
• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Job Role : GCP Platform Architect

Experience level: 8+ year

Employment type: Contractual

Location: UK (Remote)

What You Will Do:

We are seeking an experienced GCP Platform Architect to lead the design, implementation, and governance of enterprise-scale cloud platforms on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in cloud infrastructure, Kubernetes-based container platforms, networking, security, automation, and cloud transformation initiatives. This role requires a strong architectural mindset to build scalable, secure, highly available, and cost-efficient cloud solutions while enabling business and technology modernization.

Key Responsibilities

• Design and implement cloud-native architectures using Google Compute Engine (GCE), Google Kubernetes Engine (GKE), Cloud Run, and Anthos for scalable and resilient application deployments.
• Architect and optimize modern data platforms leveraging BigQuery, Dataflow, Pub/Sub, and Bigtable to support analytics and data-driven business initiatives.
• Define and implement secure networking architectures utilizing VPCs, Cloud Load Balancing, Cloud Interconnect, IAM, and encryption services in alignment with security and compliance requirements.
• Drive infrastructure automation and standardization through Infrastructure as Code (IaC) using Terraform, Ansible, or Deployment Manager.
• Develop automation frameworks, integrations, and platform services using Python, Java, Node.js, or Go.
• Lead cloud migration, modernization, and platform transformation programs, ensuring adherence to the Google Cloud Well-Architected Framework and enterprise governance standards.
• Establish cloud architecture best practices, operational standards, monitoring strategies, and reliability frameworks to enhance platform performance and availability.
• Partner with engineering, security, operations, and business stakeholders to deliver scalable cloud solutions and optimize cloud adoption.

Required Skills & Qualifications

• 8+ years of experience in cloud infrastructure, platform engineering, solution architecture, or cloud consulting.
• Strong hands-on expertise across core GCP services, including compute, container orchestration, networking, security, and data platforms.
• Proven experience designing and managing Kubernetes-based platforms, containerized workloads, and hybrid/multi-cloud environments.
• Experience implementing Infrastructure as Code (IaC), CI/CD pipelines, and cloud automation frameworks.
• Solid understanding of cloud security, governance, observability, reliability engineering, and cost optimization practices.
• Experience leading cloud migration and modernization initiatives in enterprise environments.
• Excellent communication, stakeholder management, and technical leadership skills.

Key Skills

• Compute & Container Platforms: GCE, GKE, Cloud Run, Anthos
• Data & Analytics: BigQuery, Dataflow, Pub/Sub, Bigtable
• Networking & Security: VPC, Cloud Load Balancing, Cloud Interconnect, IAM, Encryption & Key Management
• Infrastructure Automation: Terraform, Ansible, Deployment Manager, CI/CD
• Programming & Automation: Python, Java, Node.js, Go
• Cloud Architecture: Cloud Migration, Governance, Reliability Engineering, Google Cloud Well-Architected Framework
• Hybrid & Multi-Cloud: Anthos, Kubernetes, Enterprise Platform Architecture

Preferred Certifications:

• Google Cloud Professional Cloud Architect
• Professional Cloud DevOps Engineer
• Professional Cloud Network Engineer.

What is in for you:

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.