JMAN Group - Senior DevOps Consultant - CI/CD Pipeline

Key Responsibilities : - Design and implement cloud infrastructure to support data pipelines, data lakes, and analytics workloads in Azure. - Automate data solutions and infrastructure deployment using Infrastructure as Code (IaC) tools like Azure Resource Manager, Terraform, or ARM templates. - Build and maintain scalable, secure, and cost-efficient data platforms in Azure, leveraging services like Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database. - Design, build, and manage cloud-native and microservices-based architectures using Microsoft Azure, including AKS, Serverless ASP, Function Apps, and API Management. - Develop and implement Azure Landing Zones (LZ) based on Microsoft Enterprise Scale Architecture principles such as IAM, governance, cost management, monitoring, and policy-as-code. - Ensure networking and security best practices by working with Hub-Spoke architecture, Azure Front Door, Firewalls, and security tools like Defender and Sentinel. - Work with observability tools to enhance monitoring, logging, and performance insights. - Ensure high availability, disaster recovery, and security compliance in cloud solutions - Implement cloud security best practices by integrating services like Azure Security Centre, Azure Key Vault, and Azure Sentinel into the platform architecture. - Collaborate with DevOps and Data Engineering teams to ensure continuous integration and continuous delivery (CI/CD) pipelines are integrated with the platform. - Design and deploy high availability and disaster recovery solutions to ensure platform uptime and resilience. - Oversee platform monitoring, logging, and alerting to ensure optimal performance and quick resolution of issues. - Optimise the cost and resource management of cloud services and infrastructure, ensuring efficient use of Azure resources. - Work with containerisation technologies like Kubernetes and Docker to deploy and manage data services. - Support migrating on-premises solutions to Azure, ensuring a smooth transition for data infrastructure. - Collaborate with cross-functional teams to evaluate platform requirements, address scalability concerns, and integrate new data technologies. - Create documentation for platform architecture, automation scripts, and deployment procedures. Skills & Qualifications : - Bachelors degree in computer science, Information Technology, Engineering, or a related field. - Proven experience in cloud platform engineering, focusing on Microsoft Azure. - Strong expertise with Azure Data Services: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL. - Azure certification (AZ-104 or AZ-500) required. AZ-104 (Azure Administrator) or AZ-500 (Azure Security Engineer) certifications are essential for ensuring secure and efficient platform management (Optional) - Solid understanding of Infrastructure as Code (IaC) using Terraform, Azure Resource Manager, or similar tools. - Experience in containerisation and orchestration using Kubernetes, Azure Kubernetes Service (AKS), or Docker. - Strong scripting skills (e.g., PowerShell, Azure CLI, Python, Bash). - Experience with CI/CD pipelines and platform automation using tools like Azure DevOps, GitHub Actions, or Jenkins. - Familiarity with data security concepts, access control models, and Azure security services (e.g., Azure Active Directory, Key Vault, Security Centre). - Solid understanding of cloud cost management and resource optimisation. - Experience with platform monitoring and logging using Azure Monitor, Log Analytics, or Application Insights. - Strong problem-solving skills, with the ability to troubleshoot and resolve platform performance and availability issues Preferred Qualifications : - Experience with data engineering and knowledge of building ETL pipelines, data lakes, and data warehouses. - Familiarity with serverless architectures and related Azure services like Azure Functions. - Knowledge of Azure governance services (e.g., Azure Policy, Blueprints, Cost Management). - Familiarity with agile methodologies and tools. - Experience with other cloud platforms like AWS or Google Cloud. - Familiarity with Big Data frameworks and services like Azure Databricks or Hadoop. (ref:hirist.tech)

Location: chennai, IN

Posted Date: 4/6/2025