AI Cloud Engineer

3 days ago

Thiruvananthapuram, Kerala, India beBeeAzure Full time ₹ 20,00,000 - ₹ 30,00,000

About People Prime Worldwide:

We are a global innovator of IT and business services, helping clients transform through consulting, industry solutions, business process services, digital & IT modernization, and managed services.

We enable our clients to move confidently into the digital future, with a commitment to their long-term success and a global reach combined with local client attention.

Our team is dedicated to delivering exceptional results and exceeding expectations in over 50 countries around the globe.

Job Title: Azure AI ML SRE

Job Summary:

  • Azure AI_ML SRE requires strong expertise in working knowledge of SRE with Databricks and Terraform as musts.
  • Experience with Azure infrastructure (storage, Keyvault, networking, security, IAM) and Databricks (including Unity Catalog) is essential.
  • A minimum of one year of extensive work with Databricks and Terraform is required.
  • Knowledge of Azure AI services/LLM and experience with SQL are necessary.
  • DevOps pipelines experience is a plus.

Key Responsibilities:

  1. Develop and implement SRE best practices for Azure AI_ML applications.
  2. Collaborate with cross-functional teams to design and deploy scalable Azure infrastructure.
  3. Design and implement data pipelines using Databricks and Terraform.
  4. Ensure data security and integrity using Azure Keyvault and IAM.
  5. Optimize application performance using Azure AI services/LLM and SQL.

Requirements:

  • SRE Expertise: Proficient in implementing SRE best practices for cloud-based applications, particularly with Databricks and Terraform.
  • Cloud Infrastructure: Experienced in designing and deploying scalable Azure infrastructure, including storage, networking, security, and IAM.
  • Data Pipelines: Skilled in designing and implementing data pipelines using Databricks and Terraform.
  • Security and Compliance: Familiarity with Azure Keyvault and IAM for ensuring data security and integrity.
  • Performance Optimization: Knowledgeable about optimizing application performance using Azure AI services/LLM and SQL.

Bonus Points:

  • Experience with DevOps pipelines.

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