GCP Lead Engineer - AI Platform & Cloud Strategy

develop; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work 3 days in office

Benefits package

Job summary

develop is seeking an experienced Lead Engineer to own its Google Cloud platform, drive AI adoption, and bridge technical and business teams.

This hands-on role combines cloud engineering, enterprise infra and AI enablement to build secure, scalable platforms; you will lead governance, security and IaC, while collaborating with stakeholders.

The position offers hybrid work (3 days in the office) in Greater London with a competitive salary of £80,000-£100,000 per annum depending on experience.

Qualifications

• Extensive experience in Infrastructure Engineering within a modern cloud environment.
• Strong hands-on expertise with Google Cloud Platform (GCP) and Google Workspace.
• Experience with enterprise AI platforms such as Gemini, Vertex AI, NotebookLM, Claude or similar technologies.
• Experience supporting Azure, Active Directory, enterprise networking and Microsoft technologies.
• Strong understanding of cloud security, governance and Infrastructure as Code.
• Experience delivering technical projects and driving user adoption of new technologies.
• Google Cloud certifications (Professional Cloud Architect, Security Engineer or similar) are highly desirable.
• Experience supporting SaaS platforms and modern development environments.
• Exposure to serverless technologies and cloud-native applications.
• Cloud migration or post-migration optimisation experience.
• Business continuity and disaster recovery planning.
• Knowledge of AI governance, responsible AI practices or enterprise AI adoption.

Responsibilities

• Lead the ongoing development, optimisation and governance of the Google Cloud Platform (GCP) environment.
• Administer and enhance Google Workspace, identity management and cloud services.
• Support enterprise infrastructure including Azure, Active Directory, networking (LAN/WAN, Wi-Fi, VPN) and DNS.
• Drive the technical deployment and adoption of modern AI platforms and productivity tools across the organisation.
• Collaborate with technical teams to ensure AI services are implemented securely, responsibly and at scale.
• Champion a Secure by Design approach across cloud, identity, networking, AI and data platforms.
• Deliver infrastructure upgrades, cloud improvements and technical projects.
• Produce and maintain technical documentation, architecture diagrams and disaster recovery plans.
• Act as a senior technical SME, providing hands-on support and technical leadership across the infrastructure estate.

Skills

Infrastructure engineering

Google Cloud Platform (GCP)

Google Workspace

AI platforms

Azure

Active Directory

Networking

Security governance

Infrastructure as Code

SaaS platforms

Serverless

Cloud migration

Disaster recovery

AI governance

Tools

Google Cloud Platform (GCP)

Google Workspace

Job description

develop is seeking an experienced Lead Engineer to own its Google Cloud platform, drive AI adoption, and bridge technical and business teams.

This hands-on role combines cloud engineering, enterprise infra and AI enablement to build secure, scalable platforms; you will lead governance, security and IaC, while collaborating with stakeholders.

The position offers hybrid work (3 days in the office) in Greater London with a competitive salary of £80,000-£100,000 per annum depending on experience.