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Cloud Infrastructure Administrator - Azure Kubernetes Service (8-10 yrs)

8-10 years

Cloud Infrastructure Administrator - Azure Kubernetes Service (8-10 yrs)

Vidpro Consultancy Services

posted 2mon ago

Job Description

Experience : 8 - 10 Years

Location : Bangalore, Chennai, Pune, Gurgaon and Kolkata

Work Mode : Hybrid

Job Description :


We are seeking a highly experienced Cloud Infrastructure Administrator(AI/ML) with 8 to 10 years of expertise in managing and optimizing cloud environments. The ideal candidate will possess a strong background in optimizing Azure Kubernetes Service (AKS), Databricks, and Azure Machine Learning (Azure ML) for AI/ML tasks, ensuring efficiency and cost-effectiveness.

Key Responsibilities :

- Design, implement, and manage cloud infrastructure solutions using Azure services, with a focus on AKS, Databricks, and Azure ML.

- Optimize cloud resources to support AI/ML workloads, ensuring performance efficiency and cost-effectiveness.

- Develop and maintain automation scripts to streamline deployment, management, and scaling of AI/ML tasks.

- Monitor and troubleshoot cloud infrastructure components to ensure high availability and reliability.

- Collaborate with data scientists and AI/ML engineers to understand requirements and provide optimal cloud-based solutions.

- Implement security best practices and ensure compliance with industry standards and regulations.

- Conduct regular performance tuning, cost analysis, and capacity planning to optimize cloud infrastructure usage.

- Stay up-to-date with the latest cloud technologies, trends, and best practices to continuously improve infrastructure performance.

- Provide technical guidance and mentorship to junior team members.

Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 8 to 10 years of experience in cloud infrastructure administration, with a strong focus on Azure services.

- Proven experience in optimizing Azure Kubernetes Service (AKS), Databricks, and Azure Machine Learning for AI/ML tasks.

- Strong understanding of cloud architecture, networking, and security best practices.

- Proficiency in scripting languages such as Python, PowerShell, or Bash.

- Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, ARM templates).

- Excellent problem-solving and troubleshooting skills.

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure Solutions Architect) are a plus.

- LLM Model deployments and LLMOPS are a plus


Functional Areas: Other

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