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Work includes technologies of DevOps such as Azure DevOps repos and pipelines, Azure Cloud, Azure Nexus cloud, Terraform and Bicep, Kubernetes, Git, Helm, Ansible, Python, and Bash.
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Extensive knowledge of virtualization technologies, including hypervisors (e.g., VMware, Hyper-V, KVM), cloud platforms (e.g., AWS, Azure, Google Cloud), and containerization (e.g., Docker, Kubernetes.
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Knowledge of Networking and Security - DNS, Active Directory, Entra ID (Azure AD) including conditional access policies, certificates, firewalls, proxies, cloud access security brokers (CASB), single sign on (SSO), multi-factor authentication (MFA), data loss prevention (DLP) and identity and access management (IAM.
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Knowledge of Private Cloud based secure deployments (Azure, AWS) as well as Cloud based application security. Knowledge of network and security platforms (Palo Alto Firewalls, F5 LTM\GTM, EIP DDI, ClearPass NAC, etc.
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We have partnered with our client in their search for an AWS DevOps Engineer. AWS DevOps Engineer. As a DevOps Engineer, you will be responsible for working closely with our Engineering and Product teams to build quality CI/CD lifecycle solutions, automate deployments, operate our infrastructure and monitor application health and resilience.
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Experience with VMware vSphere, Citrix Workspace, Microsoft 365 and Azure, Google Workspace, Google Cloud Computing, Amazon Web Services, or storage area networking is a plus. All full-time employees are eligible to enroll in our group health insurance plan (currently provided by Horizon Blue Cross Blue Shield of New Jersey) from the first day of employment, and become eligible to enroll in our 401(k) retirement savings plan after six months of employment.
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Knowledge of Endpoints, Servers, and Cloud – Devices, operating systems, browsers, Intune, System Center, Nexthink, Amazon AWS, Azure. o Desired: Copilot, Word, Excel, PowerPoint, OneNote, Visio, Project, Whiteboard, To Do, Planner, Lists, Viva Insights, Power Apps, Loop, Azure.
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Experience with configuration management and automation tools like Ansible, Chef, or Puppet. Experience with data flow and queue management using tools like Kafka and Flume Experience in front end technologies including JavaScript, CSS3 and HTML5 to include libraries such as React Js and Angular.
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Deep understanding of Microsoft Azure & Synapse/Fabric, SnowFlake, AWS and other large data platform technologies. Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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Proficiency in cloud platforms (e.g., AWS, GCP, Azure), containerization (e.g., Docker, Kubernetes), automation tools (e.g., Ansible, Terraform), CI/CD pipelines, and scripting languages (e.g., Bash, Python.
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Cloud Solutions: Microsoft Azure, Amazon Web Confidential (AWS). Programming Languages/Scripting: Java, Python, Power Shell, Azure CLI, JavaScript. Bachelors of Science degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math.
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They also rely on programming experience that typically includes Python and R programming, cloud systems (AWS, Microsoft Azure, and Google Cloud Platform, or GPC), andmetadata storage andoptimization.
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Deep technical knowledge across Azure technologies inclusive of: Log Analytics (KQL), Application Insights, Azure Site Recovery, Azure Backup, Azure Security, Azure Networking (App Gateways, Front Door, Firewall, VWAN), Azure Storage, Azure Automation (IaC), Azure Sentinel, App Services, Containers (AKS), Managed Instances, Azure SQL, Azure DNS, Azure Virtual Desktop, Azure DevOps, PaaS, etc.
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Background with installing application software in an operational environment (Terraform, Ansible, Puppet or other Deployment Technologies) Data ingestion and correlation is at the foundation of our Elastic SIEM based SOC Operations, Mapping of vulnerability data from Prisma Cloud, Tenable.io, and MEND to associated engineering teams and AWS Accounts is key to driving timely remediation and risk management.
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Experience building data piplines using Azure Data Factory and Databricks (good to have) Knowledge of Azure/Databricks/Python is a plus (good to have). Must have : SQL strong, SSIS, ADF, Databricks.
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