Senior Cloud Solutions Architect

1 week ago

Ellore, Andhra Pradesh, India beBeeCloudExpert Full time ₹ 15,00,000 - ₹ 22,00,000

Cloud Expert Sought

We are looking for a highly skilled Cloud Architect to design and implement robust, scalable, and secure cloud solutions in regulated industries.

Job Description:

The successful candidate will be responsible for architecting end-to-end cloud solutions with a focus on reliability, security, compliance, and scalability. This includes leading migration and modernization projects of mission-critical applications, defining cloud governance, access management, and security best practices, ensuring high availability, disaster recovery, and business continuity strategies, and enabling and operationalizing AI/ML workloads—deploying, scaling, and maintaining data pipelines and model inferencing on the cloud.

Key Responsibilities:

  • Design and implement cloud architecture with a focus on security, scalability, and compliance.
  • Lead cross-functional teams in migration and modernization projects.
  • Define and implement cloud governance, access management, and security best practices.
  • Develop and maintain 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.

Required Skills & Qualifications:

Deep knowledge of at least one leading cloud platform (AWS, Azure, or Google Cloud Platform) is essential. Experience with cloud-native AI/ML services, infrastructure as Code (Terraform, CloudFormation, ARM), and AI-powered IaC generation tools is also required. Strong understanding of cloud security including IAM, encryption, compliance frameworks, and governance for AI/ML pipelines, application modernization (containers, Kubernetes, serverless architectures), CI/CD, cloud automation, and AI-powered scripting/plugins is needed. Additionally, experience with enterprise networking concepts (VPC, VPN, hybrid connectivity), monitoring, observability, and cost optimization is beneficial.

Soft Skills:

Excellent communication and leadership skills are required. Proven ability to mentor cross-functional teams and solve complex problems in high-stakes, regulated environments is necessary. The ideal candidate should be proactive in evaluating and introducing AI tools for productivity and process improvement.

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