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.