Azure Cloud Developer

Azure Cloud Developer

11 Oct
|
Kshema
|
Secunderabad

11 Oct

Kshema

Secunderabad

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>> Key Responsibilities:
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>> Cloud Solution Development:
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>> - Design, develop, and deploy scalable and reliable cloud solutions on the Azure platform.
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>> - Implement cloud services such as Azure Functions, Azure Logic Apps, Azure EventHub, Azure Networking, Fabric, and Azure API Management.
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>> - Develop and manage Azure resources using Terraform, ARM templates, Azure CLI, and Azure PowerShell.
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>> Containerization and Orchestration:
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>> - Implement and manage containerized applications using Docker.
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>> - Orchestrate containerized applications using Kubernetes and Azure Kubernetes Service (AKS).
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>> - Deploy and manage service meshes using Istio.
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>> Infrastructure as Code:
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>> - Develop and maintain infrastructure as code (IaC) using tools like Terraform and Pulumi.
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>> - Automate the provisioning and management of Azure resources.
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>> Application Integration:
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>> - Integrate on-premises systems and applications with Azure cloud services.
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>> - Utilize Azure Integration Services to develop workflows and automation processes.
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>> - Implement and manage APIs for seamless integration between different systems and applications.
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>> Security and Compliance:
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>> - Implement security best practices for cloud solutions, including identity and access management, data encryption, and network security.
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>> - Ensure compliance with industry standards and regulations, such as GDPR and HIPAA.
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>> - Conduct regular security assessments and audits to identify and mitigate risks.
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>> DevOps and Automation:
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>> - Implement CI/CD pipelines using Azure DevOps to automate the build, test,





and deployment processes.
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>> - Develop and maintain infrastructure as code (IaC) using tools like Terraform or ARM templates.
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>> - Monitor and optimize application performance and availability using Azure Monitor, Application Insights, and Log Analytics.
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>> AI/ML Services:
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>> - Implement and manage AI/ML services using Azure Machine Learning, Cognitive Services, and other relevant Azure AI tools.
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>> - Develop and deploy machine learning models and integrate them with cloud-based applications.
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>> Collaboration and Leadership:
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>> - Work closely with cross-functional teams, including software developers, operations, and business stakeholders, to deliver high-quality cloud solutions.
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>> - Provide technical guidance and mentorship to junior developers and team members.
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>> - Participate in code reviews, design reviews, and technical discussions to ensure best practices are followed.
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>> Documentation and Reporting:
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>> - Maintain comprehensive documentation of cloud architectures, configurations, and processes.
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>> - Generate and analyze performance reports and metrics to identify areas for improvement.
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>> - Communicate project status, issues, and solutions to technical and non-technical stakeholders.
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>> Requirements
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>> Required Qualifications:
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>> - 5+ years of software development experience, focusing on cloud-based solutions.
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>> - Extensive experience with Microsoft Azure services and technologies.






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>> - Proficiency in programming languages such as Java, Python, and/or JavaScript.
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>> - Strong understanding of cloud computing concepts, including serverless architecture, microservices, and containerization.
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>> - Experience with Kubernetes, Docker, Terraform, Pulumi, and Istio.
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>> - Experience with AI/ML services on Azure, including Azure Machine Learning and Cognitive Services.
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>> - Experience with DevOps practices and tools, such as Azure DevOps, Git, Jenkins, or Docker.
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>> - Knowledge of database technologies, including SQL and NoSQL databases.
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>> - Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
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>> - Strong communication and collaboration skills.
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>> Preferred Qualifications:
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>> - Bachelor’s degree in computer science, Information Technology, or a related field.
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>> - Certification in Microsoft Azure (e.g., Azure Developer Associate, Azure Solutions Architect).
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>> - Experience with other cloud platforms, such as AWS or Google Cloud Platform.
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>> - Knowledge of big data technologies and frameworks, such as Hadoop, Spark, or Azure Data Lake.
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>> - Familiarity with machine learning and AI services on Azure.
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▶️ Azure Cloud Developer
🖊️ Kshema
📍 Secunderabad

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