Cloud Architect

iVedha Inc.
Birmingham, England
6 months ago
Applications closed

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£65,000 – £120,000 pa On-site Clearance Required
Posted
6 Nov 2025 (6 months ago)

Overview:


Seeking a highly experienced Cloud Architect to design and oversee robust, scalable, and secure

cloud solutions for enterprise environments in oil & gas and other regulated industries (energy,

finance, government).


Key Responsibilities:

  • Architect end-to-end cloud solutions (public, private, hybrid) with a focus on reliability, security,
  • compliance, and scalability.
  • Lead migration and modernization projects of mission-critical applications.
  • Define cloud governance, access management, and security best practices.
  • Ensure high availability, disaster recovery, and business continuity strategies.
  • Enable and operationalize AI/ML workloads—deploying, scaling, and maintaining data pipelines
  • and model inferencing on the cloud.
  • Collaborate with stakeholders to align cloud strategy with organizational goals.


Core Technical & AI/ML Skills:

  • Deep knowledge of at least one leading cloud platform (AWS, Azure, or Google Cloud Platform).
  • Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, Google AI
  • Platform), enabling secure integration and operationalization of models.
  • Infrastructure as Code (Terraform, CloudFormation, ARM) and AI-powered IaC generation tools.
  • Cloud security (IAM, encryption, compliance frameworks), including governance for AI/ML
  • pipelines.
  • Application modernization (containers, Kubernetes, serverless architectures).
  • CI/CD, cloud automation, and AI-powered scripting/plugins (e.g., GitHub Copilot).
  • Enterprise networking concepts (VPC, VPN, hybrid connectivity).
  • Monitoring, observability, and cost optimization.


Soft Skills:

  • Excellent communication with technical and business stakeholders.
  • Proven leadership and mentoring of cross-functional teams.
  • Strong problem-solving in high-stakes, regulated environments.
  • Proactive in evaluating and introducing AI tools for productivity and process improvement.e, what success in the position looks like, and how this role fits into the organization overall.

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