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Demonstrated expertise in Data Ops/ Client Ops/ DevSecOps for CI/CD deployment. Experience in developing architectural solutions using Azure Data Factory, Azure Synapse, ADLS Gen 2, Snowflake, Databricks, Azure Purview, Informatica DQ, Attacama, and Power BI.
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Strong working knowledge of application and image deployment tools such as SCCM, Intune and Autopilot. Coordinate and direct the design, build, deployment and maintenance of personal computer operating system images, virtual desktops, and other application delivery platforms.
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Availability to travel to customer sites during the deployment, test and validation of the solution, may also include the weekend during customer event (e.g. NBA, NHL, NFL venues) Develop new hardware and software driven workflows that lead to new solutions for Verizon through hands on deployment, both directly and with the support of third party vendors (e.g. rack and stack and systems configuration.
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Lead discovery projects the define scope, schedule, deployment approach, resource needs, budget needs, business case etc to in line with client’s HR Technology strategy. Lead deployment management that includes ensuring business readiness, change readiness, IT readiness, system readiness, test readiness, and data readiness.
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Other responsibilities may will include designing security solutions for Azure cloud environments, building architectural runway for infosec requirements for both infrastructure and application development teams and assist in the design, development, implementation, and deployment of a hybrid cloud solution in a FedRAMP High environment.
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Container-based deployment experience using Docker and Kubernetes. Experience with managing and deployment of large distributed systems like Spark, DASK & H20 and heterogenous platform components.
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The position is responsible for providing the full scope of a) inbound and outbound access patient interactions & functions whether by telephone, internet or face: face, b) patient scheduling & logistics, c) executing daily workflows including cancellation, missed visit and tickler-recall deployment and d) executing revenue cycle claim scrubbing & missing slip completion.
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Preferred hands-on experience with HPC – Nvidia, CUDA. Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc. Preferred experience with configuration Management tools like Ansible, puppet.
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Azure DevOps pipeline deployment. Participate in all-hands daily meetings as the on-call representative. Azure DevOps pipeline deployment. Were Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world.
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Experience in Continuous integration and Continuous deployment using Maven, Jenkins, BitBucket, GIT and Mulesoft. Work on SOA Design patterns for building middleware systems ground up using Message Routing, Content Enrichment, Message Filtering, Message Transformation, Guaranteed delivery, Message sequencing, Batch message processing, error handling and reconciliation mechanisms.
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As a GCP Cloud Engineer, you will play a key role in design and development of our platforms, deployment pipelines, and cloud application architectures which enable our suite of cloud-native services.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance.
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Ongoing evaluation, selection and effective use of deployment tools/systems. Direct and participate in the design and implementation of software deployment packages and scripts to ensure timely, consistent and successful deployment of new and updated software installations.
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Manage requirements gathering, Agile User Stories, technical design, sprint sessions, testing, UAT and deployment; offer guidance to developers on ServiceNow configuration; give final QA reviews of all ServiceNow deliverables.
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Extensive hands-on experience in setting up build and deployment on on-prem, and private & public cloud platforms like AWS, PFC using Terraform. Additionally, hands-on experience with Terraform for setting up build and deployment pipelines on various cloud platforms is essential.
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deployment job Company: 3ktechnologies in Basking Ridge, NJ
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