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Building Scalable Cloud Architectures

2 weeks ago

Hyderabad, Telangana, India beBeeCloud Full time US$ 1,80,000 - US$ 2,20,000
Cloud Engineer - AI & ML Solutions

As a Senior Cloud Engineer, you will be responsible for designing and operating next-generation cloud systems that power cutting-edge AI solutions. You will collaborate with AI/ML teams to deliver production-grade systems, automate deployments, and ensure the resilience of data pipelines, APIs, and AI services across multiple cloud platforms.

  • Design and implement cloud-native solutions on AWS, Azure, or GCP, focusing on scalability, security, and cost-efficiency.
  • Build secure, highly available, and optimized cloud infrastructure, including networking, IAM, security, and compliance best practices.
  • Develop Infrastructure as Code (IaC) using Terraform/CloudFormation, and implement CI/CD pipelines to automate deployments for AI/ML and data platforms.
  • Manage Kubernetes clusters and containerized workloads (Docker, EKS/AKS/GKE), optimizing workloads for scalability, performance, and cost efficiency.
  • Partner with Data & AI teams to ensure cloud infra supports ML/LLM workloads, troubleshoot complex production issues, and optimize cloud operations.
Requirements
  • Education: Bachelor's/Master's in Computer Science, Cloud Computing, or related fields.
  • Experience: 6–10 years in cloud engineering/DevOps with expertise in:
  • Cloud Platforms: AWS, Azure, or GCP (multi-cloud experience preferred).
  • Infrastructure as Code: Terraform, CloudFormation, Pulumi.
  • Containers & Orchestration: Docker, Kubernetes, Helm.
  • CI/CD Tools: Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Networking & Security: VPCs, IAM, firewalls, VPN, secrets management.
  • Observability: Prometheus, Grafana, ELK, or cloud-native monitoring tools.

We are looking for a seasoned engineer who can work collaboratively with our teams to deliver high-quality solutions. If you have a passion for cloud computing, AI, and ML, we encourage you to apply.