Senior Azure Platform Engineer
- Deeplight
- Dubai - United Arab Emirates
- Full-time
وصف الوظيفة
We are seeking a highly skilled Azure Platform Engineer specializing in Data and AI solutions to join our dynamic team. As an Azure Platform Engineer, you will play a crucial role in designing, implementing, and maintaining our 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.
إمتيازات الوظيفة
Benefits & Growth Opportunities:
- Competitive salary and performance bonuses
- Comprehensive health insurance
- Professional development and certification support
- Opportunity to work on cutting-edge AI projects
- International exposure and travel opportunities
- Flexible working arrangements
- Career advancement opportunities in a rapidly growing AI company
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
متطلبات الوظيفة
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- 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.
