GCP Cloud Architect

Salary: £55,000 - 95,000 per year

Requirements:

• We have extensive experience designing and architecting solutions on Google Cloud Platform across IaaS, PaaS, and SaaS environments.
• We have proven experience defining enterprise-scale migrations to Google Cloud, including rehost, replatform, refactor, repurchase, retire, retain, and relocate strategies.
• We have broad hands-on knowledge of core Google Cloud services across compute, containers, storage, databases, networking, security, observability, DevOps, and cost management.
• We have in-depth experience designing Google Cloud landing zones and cloud foundations, including resource hierarchy, projects, billing, IAM, shared VPC, hub-and-spoke networking, service perimeters, guardrails, logging, monitoring, governance, and security controls.
• We have experience architecting secure, scalable, and highly available cloud environments, including integration between on-premises infrastructure and Google Cloud.
• We have strong experience with containerised solutions, Kubernetes production platforms, microservices, and ideally Google Kubernetes Engine.
• We have experience deploying infrastructure using automation and Infrastructure as Code, particularly Terraform.
• We have experience designing AI-ready cloud and data platforms that support ingestion, storage, governance, analytics, model deployment, monitoring, and integration with enterprise applications.
• We understand generative AI solution patterns such as retrieval-augmented generation, enterprise search, intelligent assistants, document processing, content generation, and AI-enabled workflow automation.
• We are aware of AI governance, responsible AI, data privacy, security, model risk, auditability, and compliance considerations for AI-enabled cloud solutions.
• We have strong analytical and technical skills and the ability to learn new tools, services, and methodologies as the market evolves.
• We can identify opportunities to use automation, AI-assisted engineering, AIOps, and cloud-native tooling to improve reliability, observability, delivery speed, and operational efficiency.
• We have excellent English verbal and written communication skills, with the ability to engage effectively with both technical and non-technical stakeholders.
• We can work well under pressure, respond quickly to client needs, and adapt to changing requirements.
• We have pre-sales or commercial experience.
• We have previous experience with on-premises infrastructure management.
• We are comfortable with Continuous Integration and Continuous Deployment concepts and common tools such as Jenkins, Git, Azure DevOps, GitHub Actions, GitLab CI/CD, Cloud Build, or Cloud Deploy.
• We have experience with Anthos, Apigee, Cloud Composer, Dataflow, Pub/Sub, Looker, Vertex AI, Model Garden, Document AI, Gemini, or other Google Cloud data, analytics, API management, AI, or generative AI services.
• We have experience designing retrieval-augmented generation architectures using vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns.
• We have experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines.
• We have experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI-assisted cloud operations.
• We have experience with cloud security, compliance, and governance frameworks, including considerations specific to AI-enabled workloads.
• We hold Google Cloud certifications such as Professional Cloud Architect, Professional Cloud DevOps Engineer, Professional Cloud Security Engineer, Professional Cloud Network Engineer, Professional Data Engineer, Professional Machine Learning Engineer, or Associate Cloud Engineer.

Responsibilities:

• We lead technical discussions with clients and design the best cloud solutions for their needs.
• We apply our technical expertise to design and deliver modern cloud platforms, cloud foundations, modern provisioning, migration and modernisation strategies, and cloud-native, data-driven, and AI-enabled solutions.
• We use Google Cloud services to solve clients business and technology challenges.
• We help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI-assisted operations, and responsible AI practices.
• We contribute as subject matter experts across areas such as strategy and transformation, cloud-native solutions, migration and modernization, cloud foundations and infrastructure, FinOps, cloud DevOps, automation, security, data platforms, application modernisation, AI-ready platforms, and generative AI solution architecture.
• We help deliver cloud projects and support clients on their journey to Google Cloud.
• We contribute to technical definitions, assessments, workshops, and cloud migration implementations.
• We look for opportunities to automate processes, remediate technical debt, improve operational efficiency, and identify where AI and automation can accelerate business outcomes.
• We deliver highly available cloud solutions and support internal innovation projects as well as client delivery.

Technologies:

• AI
• API
• Apigee
• Architect
• Azure
• CI/CD
• Cloud
• Composer
• DevOps
• Git
• GitHub
• GitLab
• IAM
• IaaS
• Support
• Jenkins
• Kubernetes
• Looker
• Machine Learning
• MLOps
• Network
• PaaS
• Security
• Terraform
• microservices

More:

We are NTT DATA, a $30+ billion business and technology services, AI and digital infrastructure leader that co-innovates solutions with clients and partners globally for business and societal impact. We serve 75% of the Fortune Global 100, operate with experts in over 70 countries, and are proudly a Global Top Employer within NTT Group, which invests over $3 billion annually in R&D. We offer tailored benefits that support physical, emotional, and financial wellbeing, continuous learning and development opportunities, and flexible work options. We work across sectors including financial services, public sector, insurance, telco, and media, in a highly innovative, dynamic, and challenging environment with a strong focus on collaboration, growth, inclusion, and equal opportunities.

last updated 34 week of 2026