Azure Cloud Operations Engineer
1 day ago
Resourcetree is a pioneering organization at the forefront of cloud technology. Our mission is to harness the power of Azure to deliver cutting-edge solutions that revolutionize industries.
Job SummaryWe are seeking an experienced Azure Cloud Operations Engineer to join our team. This role involves ensuring the reliability, availability, and performance of our Azure-based platforms and services. The ideal candidate will have extensive experience in designing and managing scalable infrastructure, driving automation, and ensuring high-performance data analytics and AI solutions.
Key Responsibilities:- Reliability & Performance: Ensure high availability, reliability, and performance of Azure platforms through proactive monitoring, alerting, and incident response strategies.
- Infrastructure Management: Design, deploy, and manage fault-tolerant and scalable Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform and Ansible for automated provisioning and configuration.
- Data Analytics: Ensure high performance and availability of data pipelines and analytics platforms on Azure, ensuring smooth data processing and insights generation.
- Machine Learning & Generative AI: Leverage AIOps to maintain scalable, secure, and high-performing machine learning and generative AI systems on the Azure platform.
- AKS Management: Architect, deploy, and manage Azure Kubernetes Service (AKS) clusters. Ensure optimal performance, scalability, and cost-efficiency while adhering to container orchestration best practices.
- Automation & CI/CD: Develop automation workflows using Terraform and Ansible. Implement and maintain CI/CD pipelines with Azure DevOps to streamline deployment processes.
- Monitoring & Observability: Implement comprehensive monitoring and observability solutions using Azure Monitor, Application Insights, and other tools. Analyze metrics, logs, and traces to identify and resolve performance bottlenecks.
- Cost Optimization: Monitor and optimize Azure costs by implementing reservations, savings plans, and other cost-management strategies. Provide recommendations for resource optimization.
- Capacity Planning: Perform capacity planning and forecasting to ensure that resources meet current and future demand. Implement scaling strategies for optimal resource utilization.
- Security & Compliance: Ensure Azure environments comply with security best practices and regulatory standards. Conduct audits, address vulnerabilities, and ensure data protection and privacy.
- Documentation & Knowledge Sharing: Create and maintain detailed documentation for operational processes, incident response, and infrastructure designs. Share knowledge and provide training to team members and stakeholders.
- Collaboration & Stakeholder Engagement: Work closely with development teams, data scientists, and other stakeholders to deliver solutions that meet their needs. Communicate effectively on operational status, incidents, and improvements.
- Continuous Improvement: Stay current with emerging Azure technologies, data analytics, machine learning, AI trends, and contribute to the development of new tools, processes, and best practices.
- Technical Expertise: Extensive experience with Azure services, including Azure Data Analytics (e.g., Synapse Analytics, Data Lake, Data Factory, Power BI), Azure Machine Learning, Azure Cognitive Services, Generative AI, and Azure Kubernetes Service (AKS).
- Experience: 8+ years of experience in site reliability engineering, cloud operations, or a related field, focusing on Azure technologies and high-availability systems.
- Skills: Strong problem-solving and troubleshooting skills, with experience in incident management, performance optimization, and automation. Proficiency in scripting languages (e.g., PowerShell, Python) and CI/CD tools.
- Infrastructure as Code (IaC): Expertise in Terraform and Ansible for infrastructure automation and deployment.
- Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-305) or equivalent advanced certification is required. Additional certifications in Azure Data Engineering, Machine Learning, or DevOps are a plus.
$140,000 - $200,000 per year
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