Job Description

Sr. Azure Cloud Engineer

Job Description:

We are seeking a highly skilled and experienced Senior Azure Cloud Engineer to join our team in Bangalore, Karnataka, India. In this role, you will lead the design, development, and deployment of scalable cloud services supporting data lakehouse architectures and AI/ML applications. This role will be instrumental in building robust, secure, and high-performance cloud infrastructure and services that enable advanced analytics and machine learning capabilities across the organization. 

  • Design and implement scalable, highly available, and secure cloud architectures using Azure services
  • Architect and implement Azure-based cloud solutions for data lakehouse and AI workloads.
  • Design and deploy scalable data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.
  • Develop and manage infrastructure-as-code using tools like Terraform or Bicep.
  • Collaborate with data scientists and AI engineers to optimize cloud environments for training and inference workloads.
  • Ensure security, compliance, and cost-efficiency of cloud services.
  • Monitor and troubleshoot performance issues across cloud services and data pipelines.
  • Automate deployment and operational tasks using CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).
  • Stay current with Azure innovations and recommend improvements to existing architectures.
  • Mentor junior team members and contribute to the overall growth of the cloud engineering practice

 Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • At least 10 years total experience with 5-7 years of cloud experience with Microsoft Azure, including services like:
  • Azure Data Lake Storage Gen2
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Machine Learning
  • Azure Kubernetes Service (AKS)
  • Azure Functions and Logic Apps
  • Strong understanding of cloud networking, security, and governance.
  • Experience with hybrid and multi-cloud environments.
  • Proficiency in Infrastructure as Code (IaC) tools and practices
  • Strong skills in automation and scripting in Python, PowerShell, or Bash
  • Experience with containerization technologies such as Docker and Kubernetes
  • Proven track record of designing and implementing complex cloud solutions for enterprise environments
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication and collaboration abilities
  • Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert) are highly desirable
  • Knowledge of other cloud platforms (AWS, GCP) is a plus

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