Deloitte - Recruitment

Google Cloud Platform Architect

Deloitte - Recruitment Glasgow, Scotland, United Kingdom · £117K/yr

Business Consulting and Services · 10,001+ employees

19 h ago
Senior (5-10 yrs) Contractor United Kingdom
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About the role

The architect will design and execute complex, secure cloud-native software solutions while leading architectural decisions across multiple teams. They are responsible for maintaining operational excellence, mentoring junior engineers, and driving the adoption of emerging cloud technologies.

What they look for

Google Cloud Platform Kubernetes GoLang Python Software Architecture CI/CD Infrastructure-as-Code Cloud-native development System design Terraform Observability Prometheus Grafana API development Agile methodologies Security

Requirements

Candidates must have 5+ years of experience in production software development with advanced proficiency in GoLang or Python and Kubernetes platform engineering. Strong expertise in Google Cloud Platform, CI/CD automation, and system design at scale is essential for this role.

Benefits

Holiday pay

Full description

Contract Role: Google Cloud Platform Architect

Contract Location: Glasgow / On-site 5 days

Contract Duration: 6 months initially (with potential extension)

Contract Start Date: Immediate

Contract Classification: Inside IR35

Daily Rate breakdown

Traditional Daily Rate: £450

Agreed Contract Rate (ACR): £346.95

Equivalent Annual Salary: £90,206 + £10,887 holiday pay

Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay

Job Responsibilities

  • Architects and executes complex, creative software solutions with ability to think strategically beyond routine or conventional approaches - breaking down ambiguous technical problems and influencing architectural decisions across teams
  • Develops secure, high-quality production code and actively reviews, debugs, and improves code written by others - establishing coding standards and raising the engineering bar across the team
  • Leads architectural design for cloud-native systems and services, producing comprehensive design artifacts (RFCs, ADRs, architecture diagrams) that are reviewed and adopted across multiple teams
  • Owns operational excellence by proactively identifying patterns in system failures, operational metrics, and data; designing and implementing systematic improvements to system reliability, performance, and observability
  • Evaluates and leads vendor/technology assessments -conducting deep-dive sessions with external vendors, startups, and internal teams to drive outcomes-oriented evaluation of architectural designs, technical credentials, and applicability to the firm's technology strategy
  • Leads and grows engineering communities of practice across Software Engineering to drive awareness, adoption, and standards for emerging cloud-native technologies and best practices
  • Mentors and develops junior and mid-level engineers through code review, design collaboration, and knowledge-sharing activities
  • Contributes to strategic initiatives that shape the firm's cloud platform standards, CI/CD maturity, and infrastructure-as-code practices
  • Builds and operates resilient, highly-scalable services deployed to AWS in line with firm-wide public cloud standards and security/compliance requirements

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience in production software development
  • Advanced hands-on practical experience delivering system design, application development, testing, and operational stability at scale
  • Advanced proficiency in one or more modern programming languages with demonstrated ability to optimize for performance, maintainability, and security with GoLang or Python being preferred including performance optimization and concurrency patterns
  • Advanced Kubernetes platform engineering expertise, including hands-on experience designing, developing, and operating custom Kubernetes Operators and Custom Resource Definitions (CRDs) using frameworks such as Kubebuilder, Operator SDK, or equivalent. Demonstrated ability to
  • extend Kubernetes APIs to automate complex platform, infrastructure, security, or application lifecycle workflows at enterprise scale.
  • Proven experience building cloud-native control planes and automation frameworks on Kubernetes, including authoring reconciliation loops, admission controllers, webhooks, and custom controllers; strong understanding of Kubernetes internals, API machinery, RBAC, multi-tenancy, observability, and operational best practices for production environments.
  • In-depth Google Cloud development experience -architecting, building, deploying, and operating production cloud-native workloads using core GCP services; understanding cost optimization and security best practices
  • Proficiency in automation and continuous delivery -designing and implementing CI/CD pipelines, infrastructure automation, and deployment strategies
  • Advanced understanding of the Software Development Life Cycle - ability to influence and improve SDLC practices across teams
  • Advanced knowledge of agile methodologies -CI/CD, Application Resiliency, Security, and capacity planning
  • Demonstrated expertise in a technical discipline (e.g., cloud architecture, artificial intelligence/machine learning, mobile, distributed systems, security, DevOps/platform engineering)
  • In-depth knowledge of financial services industry and their IT systems, regulatory constraints, and operational requirements
  • Practical experience with Al-assisted developer tools and Al agents (Copilot, Claude Code, or equivalent) to improve engineering productivity, code quality, and knowledge acquisition
  • Strong communication and influence skills - ability to articulate technical decisions, trade-offs, and recommendations to both technical and non-technical stakeholders

Preferred Qualifications, Capabilities, and Skills

  • Advanced Infrastructure-as-Code expertise (Terraform, CloudFormation, CDK)-designing reusable modules and standards across teams
  • Deep observability and monitoring expertise (Prometheus, Grafana, Datadog, CloudWatch) - designing comprehensive observability strategies
  • GCP certifications (Developer, Solutions Architect, Security Specialty)
  • Experience with security practices - secure coding, threat modelling, compliance, and incident response in cloud environments
  • Track record of open-source contributions or knowledge-sharing within the engineering community
  • Experience architecting or leading multi-team initiatives that span infrastructure, application, and platform engineering