The Role
Lead enterprise cloud platform strategy, architecture, engineering, and operations. Build secure, scalable, cost-effective cloud, Kubernetes, automation, developer platform, and AI capabilities. Establish governance, security, observability, reliability, disaster recovery, FinOps, and SRE practices. Lead cloud, platform, DevOps, and SRE teams while partnering with application, security, data, and product stakeholders and communicating investment priorities to senior leadership.
Summary Generated by Built In
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.
Skills Required
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 12+ years of experience in cloud engineering, platform engineering, DevOps, SRE, or infrastructure engineering
- 5+ years of experience leading cloud or 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 in cloud environments
- Experience building Internal Developer Platforms
- Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, Vertex AI, OpenAI, or Anthropic
- Knowledge of DevSecOps, SRE, Platform Engineering, and FinOps practices
- AWS, Azure, or Google Cloud certifications
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
