164 Azure Monitor Jobs - Page 7

Microsoft Technical Skills : Microsoft Azure Architecture Skills (AZ-300 & AZ-301) /Azure Networking (Az-700) Minimum of 6 years of progressive experience in IT infrastructure solutions Minimum of 4 years of experience in Azure public cloud Minimum of 1 years of experience in in Azure Stack HCI. Minimum of 1 years of experience in Azure stack hardware management. Minimum of 1 years of experience in Azure Monitor. Minimum of 4 years of experience deploying cloud-based infrastructure solutions Strong troubleshooting experience in Azure Infra and Azure network. Experienced with ITIL process. Deployment of Azure Active Directory with on-premises Active Directory integration Integration of network-to-network connectivity with Azure Virtual Network Gateways, ExpressRoute, and vendor-specific VPN appliances Deployment of Azure networking, load balancing, and security technologies Deployment of storage services on Microsoft Azure Deployment of virtual machines on Microsoft Azure Migration of existing infrastructure resources to Microsoft Azure Implementation of locally-redundant and geographically-redundant solutions Deployment of Azure Backup and Azure Site Recovery services Understands Role Based Access Controls and Identity Access Management policies

We are seeking a motivated and skilled Cloud Engineer to join our growing technology team in Noida. In this role, you will be responsible for building, deploying, and managing our cloud infrastructure and applications on platforms such as AWS, Azure, or GCP. You will work closely with development and operations teams to ensure the reliability, scalability, and security of our cloud environment. This is an excellent opportunity to contribute to the implementation and optimization of our cloud strategy, learn new technologies, and play a key role in our digital transformation journey. Responsibilities : - Build and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation, Azure Resource Manager (ARM) templates, or Google Cloud Deployment Manager. - Deploy and manage applications and services on cloud platforms, ensuring high availability and performance. - Implement and maintain monitoring, logging, and alerting systems for cloud resources and applications. - Automate routine tasks and processes related to cloud infrastructure and application deployments. - Implement and enforce security best practices in the cloud environment, working closely with the security team. - Troubleshoot and resolve issues related to cloud infrastructure and application performance. - Collaborate with development teams to design and implement cloud-native solutions. - Optimize cloud costs by identifying and implementing efficient resource utilization strategies. - Participate in the planning and execution of cloud migration projects. - Contribute to the development and maintenance of documentation for cloud infrastructure and processes. - Stay up-to-date with the latest cloud technologies and best practices. - Participate in disaster recovery and business continuity planning for cloud environments. - Assist in the implementation and adherence to cloud governance policies. Required Skills & Qualifications : - Cloud Platforms: Hands-on experience (3-7 years) with at least one major cloud platform (AWS, Azure, or GCP). - Infrastructure as Code (IaC): Experience with IaC tools such as Terraform, AWS CloudFormation, ARM templates, or Google Cloud Deployment Manager. Scripting : - Proficiency in at least one scripting language such as Python, Bash, or PowerShell for automation. Operating Systems: Strong understanding of Linux and/or Windows Server operating systems. Networking Fundamentals: Solid understanding of networking concepts, including TCP/IP, DNS, VPNs, and firewalls. Monitoring & Logging: Experience with cloud monitoring and logging tools (e.g., CloudWatch, Azure Monitor, Google Cloud Monitoring). Security Basics: Understanding of cloud security principles and best practices. Version Control (Git): Familiarity with Git for version control. Problem-Solving: Strong analytical and problem-solving skills. Communication: Good verbal and written communication skills.

- Azure Infra & DevOps - Terraform, YAML, CI/CD (Azure DevOps, GitHub, Bamboo) - Azure services, Helm, containers - AWS to Azure migration - Infra deployment, monitoring, troubleshooting Required Candidate profile - Azure Infra, DevOps, Terraform, YAML, CI/CD, and AWS to Azure migration. - Strong in containerized deployments, monitoring tools, and troubleshooting cloud environments.

Job Summary: We are seeking a skilled Dynamics CRM Developer with hands-on experience in Azure services and the Power Platform to join our dynamic team. You will be responsible for developing, customizing, and integrating Dynamics 365 solutions while leveraging Azure capabilities and Power Platform tools for seamless automation, integration, and deployment. Your contributions will help build robust and scalable solutions that meet business needs, ensuring data integrity and operational efficiency. Requirements and Qualifications: Bachelor's degree (BE/MCA) or equivalent in Computer Science or Engineering. 4-7 years of experience in Dynamics 365 CE/CRM development. Strong proficiency in Dynamics 365 CE customization and configuration (plugins, workflows, JavaScript, C#). Hands-on experience with Azure services, including Azure Functions, Logic Apps, Azure DevOps, Azure Service Bus, and Azure Monitor. Experience in designing and implementing integrations between Dynamics 365 and other systems. Proficiency in C# and .NET framework. Experience with RESTful APIs and web services. Familiarity with data modeling and database concepts. Experience with source code management using Git and Azure DevOps repositories. Understanding of CI/CD principles and experience with Azure DevOps pipelines. Experience with user story management and task tracking using Azure DevOps Boards. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Proficiency in developing Model-driven Power Apps. Experience with Power Automate for workflow automation. Experience in developing PCF components is highly desirable. Roles and Responsibilities: Develop and customize Dynamics 365 CE solutions, including plugins, workflows, custom entities, and client-side scripting. Design and implement integrations between Dynamics 365 CE and other systems using Azure services such as Azure Functions, Logic Apps, and Service Bus. Build and maintain automated deployment pipelines using Azure DevOps for Dynamics 365 solutions, ensuring continuous integration and delivery (CI/CD). Utilize Azure Functions and Logic Apps to automate business processes and enhance Dynamics 365 functionality. Implement and manage source code control using Azure DevOps repositories (Git). Maintain and update user stories, tasks, and documentation within Azure DevOps Boards. Monitor application performance and troubleshoot issues using Azure Monitor. Develop and maintain data integration solutions, ensuring data consistency and accuracy. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions. Adhere to coding standards, best practices, and security guidelines. Participate in code reviews and provide constructive feedback to team members. Provide technical support and resolve issues related to Dynamics 365, Azure, and Power Platform integrations. Develop and customize Model-driven Power Apps to meet business requirements. Create and maintain automated workflows using Power Automate. Build custom components using PCF to enhance the user interface and functionality of Power Apps.

Job Title: DevOps Engineer (Azure) Location: Bangalore & Lucknow Hybrid Word Mode JD DevOps Engineer (Azure) Preferred Skills CI/CD pipeline Azure pipeline [if we have people with knowledge of Jenkins/Code pipeline/ GitLab those can also be presented] IaC Mainly Terraform knowledge is expected [alternatives from AWS DevOp world like Cloud formation/ARM templates or Bicep also would work. If the person has knowledge in Ansible, Puppet or Chef those can also be considered as cross-platform knowledge update will be easy for such resources] Secrets Management – Azure Key Vault IAM policies – Azure AD, RBAC Log monitoring – Azure monitor , Log Analytics Source Control – Azure Repos/GitHub Knowledge of containerization (Docker, Kubernetes on Azure AKS) Other nice to have skills Understanding of networking, firewalls, security groups, and IAM (Identity and Access Management) concepts Scripting skills (Bash, PowerShell, Python, or similar).

Lead digital workforce platforms like messaging, scheduling, virtual workspace. Guide team delivery, platform execution, and agile coordination Required Candidate profile 10–15 yrs in IT delivery, workforce enablement, stakeholder collaboration. Agile/Scrum required.

Design scalable, secure Azure architectures for enterprise and mobility. Lead solution design, stakeholder engagement, and compliance in O&G contexts. Required Candidate profile 10–15 yrs in Azure cloud architecture, mobility solutions, stakeholder engagement. O&G domain experience preferred.

10 years of experience in cloud computing, preferably with Microsoft Azure Design and develop cloud analytic solutions using Microsoft Azure services, Fabric workloads and broader technologies.

THIS IS A CONTRACT ROLE Role : Azure Cloud Operations Engineer # of Roles: 2 Experience Range: 5-7 years Duration: 12 months with an option to Extend. Work Time : 9:00am to 5:00pm (Monday to Friday) Location : Onsite, Mumbai ( IIFL House, Sun Infotech Park, B23, Road No 16V, Wagle Estate Thane West 400604. Maharashtra. India) Mode of work: Onsite, 6 days a week. Shift Rotational: - Shift 1 - 9am to 6pm, Shift-2 -12 pm to 9 pm, Shift -3 - Night shift timings to be confirmed Knowledge of Azure architecture, Azure DevOps, ARM templates, Azure networking, Azure security, Azure Monitor, scripting (PowerShell/Python), virtualization. Should have experience in identity and access management, cost optimization, automation (Terraform/Ansible), CI/CD pipelines, troubleshooting, compliance standards, backup and disaster recovery. Job Summary: We are seeking a highly skilled Azure Cloud Engineer to join our team. The ideal candidate will have strong experience designing, implementing, and managing scalable cloud infrastructure on Microsoft Azure. This role will require hands-on expertise in Azure architecture, DevOps practices, scripting, automation, and a deep understanding of cloud security and compliance. Key Responsibilities: Design and implement secure, scalable, and resilient Azure cloud architectures. Develop and maintain Infrastructure as Code using ARM templates, Terraform, or Ansible. Automate provisioning, configuration, and management of Azure resources. Manage CI/CD pipelines using Azure DevOps and integrate with other tools as needed. Implement and monitor security best practices across Azure services. Configure and maintain Azure networking components (VNets, NSGs, load balancers). Utilize Azure Monitor, Log Analytics, and other tools for performance monitoring and troubleshooting. Manage identity and access management using Azure Active Directory and RBAC. Ensure compliance with industry standards and internal policies (e.g., ISO, SOC 2, HIPAA). Optimize cloud usage and costs through resource planning and automation. Provide disaster recovery and backup strategies using native and third-party tools. Collaborate with cross-functional teams to understand requirements and deliver solutions efficiently. Required Skills & Qualifications: Proven experience with Microsoft Azure, including architecture and service deployment. Strong proficiency in Azure DevOps, ARM templates, and CI/CD pipeline design. Experience with scripting in PowerShell and/or Python. In-depth understanding of Azure networking and security principles. Hands-on experience with Terraform or Ansible for automation. Strong knowledge of identity and access management (IAM) and RBAC. Experience with cloud cost optimization strategies. Familiarity with backup and disaster recovery practices in cloud environments. Understanding of compliance frameworks and implementation within Azure. Excellent troubleshooting and problem-solving skills. Preferred Qualifications: Microsoft Azure certifications (e.g., AZ-104, AZ-305, AZ-400). Experience with hybrid cloud and on-premises to cloud migration projects. Exposure to containerization tools like Docker and orchestration with Kubernetes (AKS).

Networking Architecture: Design and deploy network architectures on Azure, including hybrid and multi-cloud solutions. Configure Azure networking components such as VNets, VPN gateways, ExpressRoute, and Azure Route Server. Implement network segmentation and micro-segmentation to enhance security and traffic isolation. Deploy load balancers, application gateways, and traffic managers for scalable solutions. Ensure high availability and disaster recovery for networking components. Server Administration: Design and implement virtual machines (VMs) and scale sets in Azure. Configure and manage Windows and Linux servers in Azure. Implement Azure Auto-Scaling and Load Balancing solutions for virtual machines. Oversee server patch management, monitoring, and backup strategies. Storage Solutions Design: Architect and manage Azure storage services, including Azure Blob, Azure Files, and Azure Disks. Design and implement backup and recovery solutions using Azure Backup and Azure Site Recovery. Optimize storage solutions for cost and performance while ensuring security compliance. Configure storage accounts, access tiers, and redundancy options (LRS, GRS, ZRS). Optimization and Troubleshooting: Monitor and optimize Azure resources for performance, scalability, and cost-effectiveness. Troubleshoot complex networking, server, and storage issues in Azure environments. Use tools like Azure Monitor, Network Watcher, and Log Analytics for proactive issue identification

( SAS Platform Knowledge ) Job Summary: We are looking for an experienced and proactive Azure Cloud Administrator with 2 years of hands-on experience managing cloud environments. Candidates with exposure to the SAS platform on Azure will be preferred. The role involves managing day-to-day Azure operations, ensuring system availability, security, and performance across cloud-hosted services. Key Responsibilities: Administer and monitor Azure resources (VMs, storage, networking, resource groups). Support and manage SAS applications deployed on Azure infrastructure (if applicable). Configure and manage Azure services including Virtual Machines, App Services, Azure AD, Key Vault, and Azure Monitor. Implement and maintain backup, disaster recovery, and monitoring strategies. Manage role-based access control (RBAC), policies, and network security configurations. Support patching, performance tuning, and routine maintenance of cloud environments. Automate repetitive tasks using PowerShell, Azure CLI, or ARM templates. Work closely with SAS administrators or users for performance and integration support. Maintain clear documentation of cloud resources, configurations, and operational procedures. Required Skills: 2+ years of hands-on experience with Microsoft Azure cloud services. Strong knowledge of Azure VMs, networking, identity and access management, and storage. Familiarity with Azure governance, cost management, and security best practices. Basic scripting in PowerShell or Azure CLI. Monitoring experience using Azure Monitor, Log Analytics, and Alerts. Good to Have: Exposure to SAS software on Azure, including installation, configuration, or support. Understanding of SAS components such as SAS Viya, SAS 9.4, or SAS Management Console. Microsoft Certified: Azure Administrator Associate (AZ-104) or relevant certification. Knowledge of Infrastructure as Code (IaC) tools such as Terraform or Bicep. Familiarity with hybrid cloud integration and DevOps pipelines.

Role & responsibilities Role: Software Engineer ML Ops / AI Model Operationalization This role focuses on deploying, monitoring, and maintaining ML models in production environments. It does not involve model training or LLM fine-tuning. Core Responsibilities Operationalize ML models using Azure ML, MLflow, Docker, AKS (Azure Kubernetes Service) Develop APIs and inference pipelines for scalable model serving Design and maintain CI/CD pipelines for ML workflows Ensure monitoring and observability with tools like Prometheus, Grafana, and Azure Monitor Maintain compliance, versioning, and governance for all deployed models Automate deployment, testing, rollback, and retraining processes Collaborate with Data Scientists, Software Engineers, and DevOps teams in an Agile setup Write clean, testable, and maintainable Python code for production systems Required candidate profile: Strong Python skills (production-level ML/AI systems) 3+ years in software/backend engineering roles Hands-on experience with: Azure ML, Azure DevOps, Azure Container Registry, Azure Key Vault Docker, Kubernetes (AKS) ML lifecycle tools (e.g. MLflow) CI/CD, version control, and automated testing for ML Fluent in English (B2+ level) Nice to Have Experience with Databricks or managed ML platforms Knowledge of model drift detection, vector databases, and inference optimization Awareness of AI-specific security & compliance requirements

Urgent hiring for Azure Administrator Network & Application Troubleshooting Specialist Key Responsibilities: Diagnose and resolve complex network issues across Azure and on-premises environments using tools like Network Watcher , NSG flow logs , packet capture , and trace analysis . Troubleshoot application performance and availability issues using Application Insights , Log Analytics , and custom KQL queries . Review and troubleshoot firewall rules , NSG and route table configurations , DNS issues , and application connectivity problems . Perform deep Windows machine-level troubleshooting , including service failures , event log analysis , performance counters , group policy , user profile issues , and resource bottlenecks (CPU, memory, disk I/O). Support and troubleshoot Linux VMs (Ubuntu, RedHat, CentOS) Investigation of application issues (IIS, APIs, middleware, backend connectivity) Manage, monitor, and optimize Azure infrastructure, including VMs, Load Balancers, VNets, Application Gateways, Azure AD, and Key Vault. Design and manage secure, scalable hybrid networks (Azure & on-prem), including VPNs , ExpressRoute , custom routing , and Azure Firewall . Automate operational tasks using PowerShell , Azure CLI , or Bash for log collection, monitoring, and remediation. Implement backup, disaster recovery, and business continuity strategies in Azure. Collaborate with Security, DevOps, and Application teams to implement robust end-to-end cloud and hybrid solutions. Required Skills and Qualifications: 7+ years of experience in Azure administration and troubleshooting Strong expertise in Windows OS-level troubleshooting , including system logs, services, scheduled tasks, registry, performance analysis, and driver/hardware-level diagnostics. Working knowledge of Linux machine-level troubleshooting (processes, logs, SSH, cron, system services) Proven experience with Azure networking (VNets, Route Tables, Load Balancers, VPN Gateway, ExpressRoute, DNS). Strong hands-on knowledge of Azure Firewall , NSG , and traffic filtering/logging tools. Proficient in Azure Monitor , Log Analytics , Application Insights , and diagnostic log collection. Background in application support ability to identify whether issues originate from the OS, network, or application layer. Scripting experience with PowerShell , Azure CLI , or Bash for automation and diagnostics. Microsoft Certified: Azure Administrator Associate (AZ-104) preferred Preferred Qualifications: Familiarity with tools like Wireshark , TcpDump , or Network Monitor for detailed traffic analysis. Experience with DevOps practices or tools (e.g., Jenkins, GitHub Actions, Ansible). Exposure to Infrastructure as Code (Terraform, ARM templates, Bicep). Experience working in containerized or hybrid cloud environments (AKS, Docker) is a plus. Please send your resume to akshata.mamdekar@ispatialtec.com

Job Description: We are hiring for the position of Senior Splunk Data Engineer with 710 years of relevant experience in log analytics, observability engineering , and enterprise-level Splunk platform management . The ideal candidate will be responsible for designing, implementing, and maintaining Splunk-based monitoring and alerting solutions that support scalable infrastructure and mission-critical applications. This is a key engineering role where you will collaborate closely with security, DevOps, and SRE teams to ensure visibility, uptime, and operational intelligence across distributed systems. Key Responsibilities Design, architect, and implement scalable Splunk deployments in cloud or hybrid environments. Build and manage log ingestion pipelines using Splunk Universal Forwarders, HEC, syslog, and third-party connectors. Create and optimize SPL queries, dashboards, scheduled reports, and alerting mechanisms to support infrastructure and application monitoring. Automate log onboarding, parsing, field extractions, and tagging using scripts (Python, Shell). Integrate Splunk with cloud platforms such as AWS (CloudTrail, CloudWatch), Azure Monitor, and GCP Logging. Perform system tuning, indexing strategy planning, and data lifecycle management (retention/archival). Collaborate with developers and infrastructure engineers to onboard new services and improve observability coverage. Ensure security and compliance alignment using frameworks such as MITRE ATT&CK, NIST, and GDPR. Participate in incident response, root cause analysis, and continuous service improvement. Required Skills: Splunk Enterprise / Cloud SPL (Search Processing Language) Data Onboarding and Field Extraction Python / Shell scripting AWS / Azure / GCP integration Infrastructure Monitoring SIEM & Security Analytics Log Forwarding (UF, HEC, Syslog) Dashboard & Alert Development ITSI (preferred) Performance Tuning & Capacity Planning