Cloud Infrastructure Architect

1 week ago

Bengaluru, Karnataka, India Reflections Info Systems Full time

We are looking for 8+years experienced candidates for this role.

Primary Skills:

  • Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions.
  • Experience in at least 5 projects involving enterprise-level cloud architecture and implementation.
  • Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures.
  • Hands-on experience in large-scale cloud migration projects.
  • Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning.
  • Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments.
  • Strong experience with VMware technologies such as vSphere, ESXi, and vCenter.
  • Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage.
  • Experience in responding to RFPs, preparing solution designs, and performing estimations and costing.
  • Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads.
  • Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation.
  • Good understanding of SQL and NoSQL databases.
  • Deep expertise in DevOps practices, containerization, and CI/CD pipelines.
  • Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus.
  • Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA.
  • Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS).

Responsibilities include:

  • Design, develop, and maintain scalable cloud infrastructure solutions.
  • Lead cloud adoption strategies, migration roadmaps, and workload assessments.
  • Provide infrastructure expertise to design cloud-native and on-premise solution architectures.
  • Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups.
  • Ensure infrastructure security, compliance, and adherence to industry best practices.
  • Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service.
  • Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions.

Certifications:

  • AWS/Azure/GCP Architect Certifications
  • Kubernetes Certifications (CKA/CKAD)

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