Padmi

Platform Engineer

BangalorePosted 16 months ago
Infrastructure And DatabasesSeniorFull Time
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Design and implement cloud infrastructure using Azure Resource Manager (ARM) templates and Terraform . Architect and manage distributed applications using Azure services like Event Hub, Data Factory, ADLS Gen2, Cosmos DB, Synapse, Databricks, APIM, Function App, Logic App , and App Services . Build and manage containerized workloads with Docker and Azure Kubernetes Service (AKS) . Monitor, troubleshoot, and optimize systems using Azure Monitor, Log Analytics , and Application Insights . Define and implement disaster recovery , backup strategies, and failover mechanisms for mission-critical systems. Automate infrastructure provisioning and scaling for high availability and operational efficiency. Manage Dev/Test/Pre-prod/Production environments and ensure smooth deployment pipelines using Azure DevOps and Jenkins . Design and maintain robust CI/CD pipelines for application deployment and integration. Troubleshoot and analyze failed jobs in Azure Data Factory and Databricks , providing root cause analysis and applying effective resolutions. Develop and maintain monitoring systems for job flows , applications, and infrastructure, including proactive alerting mechanisms. Collaborate with development teams to enhance application and workflow performance based on monitoring insights. Write scripts in Python and Shell for automation and process optimization. Maintain and monitor Azure VMs, focusing on performance metrics like memory, CPU, disk, and networking. Stay current with evolving technologies and apply agile methodologies to project delivery. Required Skills & Qualifications: 36 years of hands-on experience working with Azure and cloud-native technologies. Proficiency in infrastructure as code (IaC) using Terraform and ARM templates . Strong knowledge of Azure Data Engineering services and distributed data pipelines. Experience in container orchestration with AKS . Expertise in CI/CD pipeline creation, deployment automation, and application lifecycle management. Advanced troubleshooting and performance tuning capabilities. Excellent communication, analytical thinking, and problem-solving skills. Understanding of agile principles and collaborative team environments.

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