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Platform Engineer

1 month ago

Dubai, Dubai, United Arab Emirates Salt Full time

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Cloud Data & AI, Data Engineering, Data Architecture & Data Science Specialist at Salt

Hi, I am currently looking to speak to Data Platform Engineers who are looking for a new contract role for 12 Months.

This is a very exciting opportunity to work for a growing data & AI consultancy. The role is based in Dubai and will require you to have excellent Data AND infrastructure / DevOps experience.

You MUST have Data & DevOps experience. Please ONLY apply if you have Azure Data, and Data Platform experience.

Salary - 25,000k - 27,000k Per Month

Location - Dubai

Start Date - ASAP

Description

My client is seeking a highly skilled Azure Platform Engineer specializing in Data and AI solutions to join the dynamic team. As an Azure Platform Engineer, you will play a crucial role in designing, implementing, and maintaining the Azure cloud infrastructure with a focus on data processing and AI workloads. You will work closely with cross-functional teams to ensure the scalability, security, and reliability of our cloud-based AI systems. The ideal candidate is passionate about cloud technologies and AI, possesses strong problem-solving skills, and has a solid understanding of Azure services.

Responsibilities

  • Design, deploy, and maintain Azure infrastructure components such as Virtual Machines, Azure Storage, Azure SQL Database, and Virtual Networks with a focus on AI workloads.
  • Implement and manage automation tools for provisioning, configuration, and orchestration of Azure resources (e.g., Azure Resource Manager templates, Terraform, Azure DevOps).
  • Configure and optimize Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning services for large-scale data processing and AI model training.
  • Monitor system performance, troubleshoot issues, and optimize resource utilization to ensure high availability and performance of AI workloads.
  • Implement security best practices and compliance policies to safeguard sensitive data and AI models on the Azure platform.
  • Design and implement data pipelines using Azure Data Factory and Azure Synapse Analytics for efficient data processing and model training.
  • Set up and maintain Azure Kubernetes Service (AKS) clusters for containerized AI applications and MLOps workflows.
  • Collaborate with data scientists and ML engineers to optimize AI model deployment and serving infrastructure.
  • Stay updated on emerging Azure technologies and best practices in cloud-based AI solutions.
  • Provide guidance and support to other team members on Azure-related tasks and AI infrastructure projects.

Requirements

  • Proven experience as a cloud engineer with a focus on Azure, particularly in data and AI workloads.
  • In-depth knowledge of Azure services such as Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, and Azure Kubernetes Service.
  • Strong understanding of data processing and AI infrastructure requirements.
  • Hands-on experience with infrastructure-as-code tools such as ARM templates, Terraform, or Bicep.
  • Strong understanding of networking concepts and experience with configuring Azure networking services (e.g., VNet, Azure Front Door, Application Gateway).
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Familiarity with MLOps principles and practices, including CI/CD pipelines for ML models and configuration management tools.
  • Experience with Python and data processing frameworks (e.g., Spark, Pandas) is a plus.
  • Excellent communication skills and ability to collaborate effectively with cross-functional teams.
  • Azure certifications such as Azure Solutions Architect, Azure DevOps Engineer, or Azure Data Engineer Associate are preferred but not required.
  • Experience in developing and deploying serverless applications using Azure Functions, including integration with Event Grid, Service Bus, and API Management.
  • Proficiency in designing and managing workflows using Azure Logic Apps, integrating with various connectors like SQL Server, SharePoint, Azure Storage, and third-party APIs.
  • Expertise in configuring VNet integration, Private Endpoints, and Firewall rules for Azure Resources to ensure secure and controlled access while restricting public exposure.
Seniority level

Mid-Senior level

Employment type

Contract

Job function

Consulting and Finance

Industries

Staffing and Recruiting

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