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Open nowPosted 56 days ago

Cloud Solutions Architect

Anblicks92 open roles

Where
Dallas
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Your applicationOpen nowCloud Solutions ArchitectAnblicks · Dallas

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 56 days ago

The posting

Cloud Solutions Architect

Role Summary

Lead the strategy, engineering, and operations of the enterprise cloud platform. Responsible for enabling secure, scalable, and cost-effective cloud infrastructure, platform services, automation, developer productivity, and AI platform capabilities.

Key Responsibilities

AI Platform Enablement

  • Build and support enterprise AI platform capabilities including GenAI, LLM, and AI development services.
  • Enable secure access to platforms such as Azure AI, Azure OpenAI, AWS Bedrock, Vertex AI, and similar services.
  • Establish governance, security, and cost controls for AI workloads.
  • Accelerate adoption of AI-assisted engineering and business solutions.

Cloud Platform Leadership

  • Define and execute the cloud platform strategy and roadmap.
  • Establish cloud architecture standards, governance, and engineering best practices.
  • Lead modernization and adoption of cloud-native technologies.

Platform Engineering & Automation

  • Build self-service platform capabilities for application teams.
  • Drive Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation initiatives.
  • Improve developer experience through platform engineering and CI/CD capabilities.

Cloud & Kubernetes Operations

  • Lead enterprise container and Kubernetes platform initiatives.
  • Ensure platform reliability, scalability, observability, and disaster recovery readiness.
  • Implement SRE practices and operational excellence frameworks.

Security, Governance & FinOps

  • Implement cloud security, compliance, and governance controls.
  • Drive cloud and AI cost optimization through FinOps practices.
  • Establish operational metrics, SLOs, and platform performance KPIs.

Leadership & Stakeholder Management

  • Lead teams of cloud engineers, platform engineers, DevOps, and SRE professionals.
  • Partner with application, security, data, and product teams.
  • Communicate platform strategy and investment priorities to senior leadership.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 12+ years in Cloud Engineering, Platform Engineering, DevOps, SRE, or Infrastructure Engineering.
  • 5+ years leading cloud/platform engineering teams.
  • Strong experience with AWS, Azure, GCP, or multi-cloud environments.
  • Hands-on expertise in Kubernetes, Infrastructure as Code, CI/CD, cloud networking, observability, and security.
  • Experience building and operating enterprise-scale cloud platforms.
  • Experience enabling AI/ML or Generative AI platforms within cloud environments.

Preferred Qualifications

  • Experience building Internal Developer Platforms (IDP).
  • Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, Vertex AI, OpenAI, or Anthropic.
  • Knowledge of DevSecOps, SRE, Platform Engineering, and FinOps practices.
  • Cloud certifications from AWS, Azure, or Google Cloud.
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