Cloud Solutions Architect

Anblicks; Dallas (TX); Sur place; USD 180 000 - 270 000; Plein temps

Avantages offerts par ce poste

None

Résumé du poste

Anblicks seeks a results-driven Cloud Platform Leader to steer strategy, engineering, and operations for a scalable enterprise cloud platform. You will enable AI platform capabilities, govern multi-cloud environments, and drive secure, cost-conscious cloud delivery at scale.

Responsibilities include defining the platform roadmap, establishing standards, and leading teams across DevOps, SRE, and platform engineering to improve developer productivity and reliability.

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.

Responsabilités

• Lead the strategy, engineering, and operations of the enterprise cloud platform.
• 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, observability, and disaster recovery readiness.
• Implement SRE practices and operational excellence frameworks.
• Implement cloud security, compliance, and governance controls.
• Drive cloud and AI cost optimization through FinOps practices.
• Establish operational metrics, SLOs, and platform performance KPIs.
• 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.

Connaissances

Cloud engineering

Platform engineering

DevOps

SRE

Kubernetes

Infrastructure as Code

CI/CD

Cloud security

FinOps

Leadership

Stakeholder mgmt

Formation

Bachelor's degree

Outils

AWS

Azure

GCP

Terraform

CloudFormation

Pulumi

Kubernetes

Description du poste

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.