Strategic Cloud Infrastructure Architect

4 days ago

Dindigul, Tamil Nadu, India beBeeCloudEngineering Full time ₹ 1,95,00,000 - ₹ 2,34,50,000
Cloud Engineering Lead

Job Summary:

We are seeking an experienced Cloud Engineering Lead to design, implement, and manage cloud solutions for our organization.

This is a leadership role that requires strong technical skills, excellent communication abilities, and experience in leading cross-functional teams.

  • Key Responsibilities:
  • Develop and implement cloud strategies to improve efficiency, scalability, and security of our cloud infrastructure.
  • Lead migration and modernization projects of mission-critical applications to the cloud.
  • Define cloud governance, access management, and security best practices.
  • Ensure high availability, disaster recovery, and business continuity strategies.
  • Enable and operationalize AI/ML workloads—deploying, scaling, and maintaining data pipelines and model inferencing on the cloud.
  • Collaborate with stakeholders to align cloud strategy with organizational goals.

Required Skills and Qualifications:

Technical Skills:

  • Deep knowledge of at least one leading cloud platform (AWS, Azure, or Google Cloud Platform).
  • Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform), enabling secure integration and operationalization of models.
  • Infrastructure as Code (Terraform, CloudFormation, ARM) and AI-powered IaC generation tools.
  • Cloud security (IAM, encryption, compliance frameworks), including governance for AI/ML pipelines.
  • Application modernization (containers, Kubernetes, serverless architectures).
  • CI/CD, cloud automation, and AI-powered scripting/plugins (e.g., GitHub Copilot).
  • Enterprise networking concepts (VPC, VPN, hybrid connectivity).
  • Monitoring, observability, and cost optimization.

Soft Skills:

  • Excellent communication with technical and business stakeholders.
  • Proven leadership and mentoring of cross-functional teams.
  • Strong problem-solving in high-stakes, regulated environments.
  • Proactive in evaluating and introducing AI tools for productivity and process improvement.

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