Chief Cloud Solutions Architect

20 hours ago

Lucknow, Uttar Pradesh, India beBeeCloud Full time US$ 1,50,000 - US$ 2,50,000

Cloud Infrastructure Engineer

The ideal candidate will design and implement scalable, resilient, and cost-effective cloud solutions across multiple platforms.

  • Leverage Infrastructure-as-Code tools such as Terraform, CloudFormation, and ARM templates to build and manage cloud infrastructure.
  • Architect and manage containerized environments with Docker and Kubernetes at enterprise scale.
  • Develop secure cloud networking solutions including VPCs, load balancers, firewalls, and segmentation.
  • Drive DevOps best practices through CI/CD pipelines and automated deployment strategies.
  • Maintain cloud security frameworks aligned with industry standards.
  • Optimize cloud spend through resource management, rightsizing, and automation tools.
  • Design and implement data lake and big data architectures to support AI/ML workloads.
  • Develop monitoring, logging, and observability frameworks using Prometheus, Grafana, and ELK stack.
  • Collaborate with engineering teams to define technical requirements and guide architectural decisions.
  • Stay ahead of emerging cloud technologies and assess their business impact.

Requirements:

The ideal candidate should have:

  • A Bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 8 years of experience in cloud architecture, design, and implementation.
  • Deep expertise in one or more cloud platforms (AWS, Azure, GCP).
  • Proven track record designing and implementing scalable, resilient, and highly available solutions.
  • Strong knowledge of cloud networking (VPC, load balancing, firewalls).
  • Hands-on experience with IaC tools (Terraform, CloudFormation, ARM).
  • Proficiency in containerization (Docker), orchestration (Kubernetes), and serverless technologies.
  • Solid background in DevOps practices and cloud cost optimization.
  • Knowledge of cloud security & compliance standards.
  • Experience with data lakes and big data technologies in the cloud.
  • Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK).

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