At a Glance
- Tasks: Design and deliver innovative cloud solutions using Google Cloud Platform.
- Company: Join a leading tech firm at the forefront of cloud technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse projects across various industries.
- Why this job: Shape the future of AI and cloud technology while solving real-world challenges.
- Qualifications: Experience in cloud architecture and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
Google Cloud Platform Technical Architect The Google Cloud Platform Technical Architect is a customer‑facing domain expert who applies broad technical skills to design and deliver modern cloud platforms, from cloud foundations and modern provisioning to migration and modernisation strategies, as well as cloud‑native, data‑driven, and AI‑enabled solutions that meet business needs by applying the most appropriate cloud deployment models and Google Cloud services for each case.
You will lead technical discussions with clients and apply your knowledge to design the best solutions for them.
This role requires exceptional communication skills with both technical and non‑technical audiences, using Google Cloud services to solve our clients' business and technology challenges on a day‑to‑day basis.
You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI‑assisted operations, and responsible AI practices.
Key Responsibilities Design and deliver cloud solutions across Iaa S, Paa S, and Saa S environments on Google Cloud Platform.
Define enterprise‑scale migration strategies, including rehost, replatform, refactor, repurchase, retire, retain, and relocate.
Architect cloud foundations, landing zones, and scalable, highly available environments, integrating on‑premises infrastructure with Google Cloud.
Lead technical workshops, assessments, and migration implementations, continuously seeking opportunities to automate processes and remediate technical debt.
Drive the design of AI‑ready cloud and data platforms that support ingestion, storage, governance, analytics, model deployment, monitoring, and integration with enterprise applications.
Collaborate with teams across sectors such as financial services, public sector, insurance, telco, and media to solve complex business challenges using cloud, automation, and AI‑enabled solutions.
Consult on AI governance, responsible AI, data privacy, security, model risk, and compliance for AI‑enabled workloads.
Required Skills
