Director / Senior Manager - Cloud Platform Engineering & AI Enablement

Anblicks; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Anblicks is seeking a strategic leader to direct the enterprise cloud platform, aligning engineering, operations, and cost governance for secure, scalable infrastructure. The role focuses on AI platform enablement, platform modernization, and developer productivity across multi-cloud environments.

You will guide Terraform, CloudFormation, and Pulumi-based automation, empower self-service capabilities, and drive SRE practices to ensure reliability and governance across teams.

Qualifications

• 12+ years in Cloud/Platform Engineering, DevOps, SRE, or Infra Engineering.
• 5+ years leading cloud/platform engineering teams.
• Experience with multi-cloud environments (AWS/Azure/GCP).
• Hands-on with Kubernetes, IaC, CI/CD, networking, observability, and security.
• Experience building and operating enterprise-scale cloud platforms.
• Experience enabling AI/ML or Generative AI platforms in cloud environments.

Responsibilities

• Lead strategy, engineering, and operations of the enterprise cloud platform.
• Drive platform governance, security, FinOps, and cost controls.
• Build self-service platform capabilities for application teams.
• Oversee IaC, automation, and CI/CD modernization efforts.
• Lead SOC2/SOC3, compliance, and platform reliability initiatives.
• Partner with security, data, and product teams; report to senior leadership.

Skills

Kubernetes

Infrastructure as Code

CI/CD

Cloud networking

Observability

Security

Education

Bachelor's degree in CS/Engineering or related field

Tools

Terraform

CloudFormation

Pulumi

AWS/Azure/GCP

Job description

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.
• 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.
• 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.
• 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.