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We are seeking a highly qualified senior engineer to be a part of MES Deployment projects within our organization. Prior MES product deployment/upgrade knowledge. POMSnet MES deployment lead (Onsite.
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Must be eligible to gain and maintain one of the following IAT Level II certifications: CCNA Security, CySA+, GICSP, Security+ CE, SSCP, or GSEC, IAW DOD commensurate with the assigned duties within 90 days of hire or after the second deployment.
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Experience with Azure cloud services, Microservices, Kubernetes, IAC, Github actions, Terraform, and API Management Systems, ensuring efficient deployment, management, and scaling of backend applications preferred.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Fiber Deployment PM - PMO - WFH / RemoteWe are currently recruiting a Project Manager - FIBER/OSP supporting the East Coast. This is a PMO Fiber Deployment Project Manager that will work with the Engineering and construction teams.
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The Regional Lean / Continuous Improvement Manager will be responsible for deploying Lean methodology including strategy design and deployment, training, mentoring, and coaching of subject matter expertise, and working closely cross functionally with Sales, Customer Service, Warehousing, Production, Maintenance, Procurement, Environmental Health & Safety, Finance, Human Resources, and Quality.
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You must be a self-starter, require minimal supervision, and possess strong technical and design knowledge of structured cabling, deployment of network and infrastructure technology and physical security solutions.
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Design, develop, and implement MLOps pipelines for Generative AI models, covering data ingestion, preprocessing, training, deployment, and monitoring. Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL) and tools (AWS SageMaker, Dataiku, Databricks etc.
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Network routing and switching, Cisco ASA, FTD, FMC, IPS/IDS, wireless controller configurations and AP deployment best practices? A good understanding of SD-WAN architectures with deployment experience a plus.
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Drives and/or participates in data pipeline development, deployment, and maintenance activities leveraging tools including Python, SQL, Databricks, Azure DevOps, and Azure Data Factory.
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Background in Windows deployment, automation, and related technologies. Worked with Concourse, Spinnaker, Jenkins, Bamboo, TeamCity or other Continuous Integration tools. Experience in Amazon Web Services, Microsoft Azure, Google Cloud and OpenStack.
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Understanding of systems monitoring, alerting and analytics (Prometheus, New Relic, AppDynamics, Cacti, Graphite, ELK, Nagios, Ganglia, Splunk, Log Insight, vRealize Operations, Datadog, etc.) Experience supporting production systems using Site Reliability Engineering (SRE) practices.
$184,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Kubernetes, Openshift, Python, Java, EKS, AKS, GKE, CICD, Jenkins, Harness, Application Deployment, Helm, Splunk, Datalog, Appdynamics, ELK, Grafana, Prometheus. You'll learn to design and guide implementations of cloud-ready applications and deployment pipelines on large-scale container platform clusters using Java, Node.js, Docker, Kubernetes, Red Hat Ansible Automation, and Red Hat OpenShift.
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Lead the implementation and deployment of cloud infrastructure components, such as virtual machines, containers, networking, storage, and identity/access management, using Terraform. Collaborate with DevOps and engineering teams to integrate Terraform with CI/CD pipelines, enabling automated provisioning, testing, and deployment of cloud resources.
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What you’ll do in this role:Provide best-in-class production support for Openlink Endur, efficient software deployment, configuration processes, and proactive monitoring to anticipate and prevent issues, minimize downtime, and ensure quick recovery from incidents.
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As a Site Reliability Engineer, you will have the opportunity to design, implement, and maintain CI/CD pipelines for multiple projects, automate deployment, scaling, and management of containerized applications using Kubernetes, and expertly manage and configure infrastructure as code through innovative tools like Terraform and Ansible.
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deployment job Title: data scientist Company: 81qd
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