Cloud Architect

idpp

United States

Hybrid

GBP 65,000 - 100,000

Full time

5 days ago
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Job summary

idpp seeks an experienced Google Cloud Platform Architect to shape end-to-end GCP architecture for a strategic Autonomous Networks and Digital Energy Management programme. The role focuses on aligning Energy-domain solutions with the broader network architecture, ensuring secure, scalable designs.

Responsibilities include selecting GCP services, defining integrations, and producing architecture documentation for technical and business stakeholders.

Qualifications

  • Strong experience as a GCP Cloud Architect or Solution Architect in complex enterprise environments.
  • Deep knowledge of Google Cloud Platform including compute, networking, storage, data and integration services.
  • Understanding of APIs, integration patterns, data flows and distributed architectures.
  • Experience designing secure, scalable, and resilient cloud solutions in hybrid or complex environments.

Responsibilities

  • Design and own end-to-end solution architectures on GCP.
  • Select appropriate GCP services and architectural patterns.
  • Define how solutions integrate with existing enterprise and network platforms.
  • Ensure alignment between the Energy domain and Autonomous Networks architecture, standards and roadmap.
  • Work closely with engineering teams to translate architecture into implementable solutions.
  • Address security, scalability, resilience, performance and operational requirements.

Skills

GCP Cloud Architect
Solution Architect
Google Cloud Platform
APIs
Integration patterns
Data flows
Distributed architectures
Security
Scalability
Resilience
Hybrid environments

Job description

Start: Urgent; exact date to be confirmed

Duration & allocation: Starting 6 months + extensions, full time

Work: Remote - 1/2 in the office a month

Our client is looking for an experienced Google Cloud Platform Architect to support a strategic programme focused on Autonomous Networks and Digital Energy Management.

The role will be responsible for shaping the end-to-end GCP architecture, ensuring that solutions developed within the Energy domain are aligned and integrated with the broader Autonomous Networks architecture and technology landscape.

Key responsibilities

  • Design and own end-to-end solution architectures on GCP, covering cloud services, applications, data, APIs and integrations.
  • Select appropriate GCP services and architectural patterns based on functional and non-functional requirements.
  • Define how solutions integrate with existing enterprise and network platforms, including interfaces, data flows and dependencies.
  • Ensure alignment between the Energy domain and the wider Autonomous Networks architecture, standards and roadmap.
  • Work closely with engineering teams and other architects to translate architecture into implementable solutions and resolve technical design issues.
  • Address security, scalability, resilience, performance and operational requirements as part of the solution design.
  • Produce clear architecture documentation and communicate design decisions to both technical and business stakeholders.

Candidate profile

  • Strong experience as a GCP Cloud Architect or Solution Architect in complex enterprise environments.
  • Deep knowledge of Google Cloud Platform, including cloud-native architecture, compute, networking, storage, data and integration services.
  • Strong understanding of APIs, integration patterns, data flows and distributed architectures.
  • Experience designing secure, scalable and resilient cloud solutions, ideally across hybrid or complex enterprise environments.
  • Ability to operate at both high-level architecture and detailed solution design level and provide technical direction to engineering teams.
  • Strong stakeholder management skills and ability to work across multiple architecture and delivery teams.
  • Telecommunications/mobile network experience would be advantageous but is not required.
  • Energy management or energy optimisation experience would be beneficial but is not essential.
  • Exposure to Autonomous Networks or network automation would be an additional advantage.
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