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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Implementing access controls on Azure services across cloud platform i.e. IaaS, PaaS and SaaS Nice to have: - Third party cloud security platform like Palo Alto Prisma Cloud Security. Strong development skills in Python, Golang, Java. - Work on Azure services, such as Vnet, Network Security Group, User Defined Routing, Firewall changes, Private links etc.
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On-premises to cloud configuration working with third party tool such as Splunk, Spring cloud gateway, Akamai, F5 will be a great plus Establish security guardrails around Infrastructure, Platform, as well as Software services of Azure.
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Build robust data integration services using Java Spring Boot API and Azure cloud services and manage Collibra platform deployments and upgrades on cloud VMs. Experience in developing data integration services using Java Spring Boot API and deploying solutions on Azure cloud services.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage. Experienced Azure Blob storage, Maven, and JUNIT.
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Knowledge and ability in all aspects of a Windows workstation environment (Windows 10/11, O365, Azure Active Directory, Teams/Zoom, Intune and modern desktop management, Autopilot, mobile management, Device as a Service, WiFi, VPN, collaboration and conferencing solutions, Virtual Desktop Infrastructure (VDI), user persona or profiles, asset management via CMDB/AD.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Microsoft Azure Cloud Engineer Job Responsibilities:-Focus on optimizing existing systems, building infrastructure, and eliminating work through automation. -In-depth knowledge of security and IAM/RBAC within Azure, including the management and operation of Azure ASG, Azure Key Vault, Azure NSG, Azure AD, Azure Security Center, Azure Policy, and Azure Management Group/Subscriptions.
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You are an experienced and highly motivated senior Cyber Security Operations Center (CSOC) analyst engineer with extensive expertise in Security Information and Event Management (SIEM) focusing on Sumo Logic, incident investigation, Security Orchestration, Automation, Response (SOAR), and threat intelligence.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Seamless integration with On-prem databases and Power BI reports Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Role DescriptionWe are currently seeking a talented and motivated senior Azure Data Engineer to join our Risk Technology Team. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
$205,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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Key Responsibilities: Design, deploy, and manage cloud infrastructure on platforms such as AWS, Azure, or Google Cloud. Relevant certifications, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect.
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Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure; Working with Agile development methodologies and product tracking solutions such as Version Control Systems (e.g. Github), Issue Management Systems (e.g. JIRA, Azure DevOps etc.
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Nice to Have Cloud Database knowledge of platforms like Diamanti, Nutanix, Kubernetes, Docker, Openshift and Azure Developer mindset with skill in Ansible, Python, Java or C/C. Strong Hands-on Experience automating Database Image builds and orchestration using Packer, Terraform & Ansible What’s in it for you.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$247,200 a yearFull-timeExpandApply NowActive JobUpdated Today
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