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Proficiency with cloud technologies such as AWS, Azure, and Google Cloud Platform; familiarity with serverless architectures, Docker, and Kubernetes. Exposure to CI/CD/DevOps, Terraform, Docker and monitoring technologies.
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Responsibilities: •Set up infrastructure and architecture for DevOps tools such as Git, Jenkins, AppScan, Chef, Puppet, Ansible, Maven/Gradle, Docker, jfrog artifactory, bamboo, selenium, Cucumber, Nagios etc.
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Spring boot, Microservices, Docker, Jenkins and REST API's experience. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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2+ years of experience and a good understanding of OpenShift, Google Cloud Platform, DevOps, CI/CD, Docker, Kubernetes, and GitHub. Familiarity with Python is advantageous. 2+ years of experience and a good understanding of OpenShift, Google Cloud Platform, DevOps, CI/CD, Docker, Kubernetes, and GitHub. Familiarity with Python is advantageous.
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Lead data analysis required to troubleshoot data related technical issues and resolution Deploy and automate Machine Learning Models in a data environment (e.g., SQL server, Cloud platform, on-premise servers and machines) and include workflow orchestration, scheduling and implementing advanced data processing and data delivery tools like docker for containerization.
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Experience using contemporary UNIX/Linux software environments using Make, gcc, bash, etc. Experience using Traffic modeling tools (e.g. DriveSIM, SUMO, VisSim, 4+ years of experience using Matlab and/or Simulink and/or Stateflow for controls development, data visualization.
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2+ years of experience with OpenShift, Google Cloud Platform, DevOps, CI/CD, Docker, Kubernetes, and GitHub. Experience with Docker, Kubernetes, and GitHub. 2+ years of experience with OpenShift, Google Cloud Platform, DevOps, CI/CD, Docker, Kubernetes, and GitHub.
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Experience with containerization tools such as Docker, Kubernetes, or OpenShift. Experience with Linux system administration including Bash. Experience with containerization tools such as Docker, Kubernetes, or OpenShift.
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Practical experience or working knowledge of the following: networking (Traditional, SDN), cloud platforms (AWS, Azure, GCP), infrastructure as code (IaC), OS configuration management and hardening (Windows, Linux, Mac), virtualization/containerization (Kubernetes, VMWare, Docker), identity management (OAuth, SAML, IDP), mobile security (MDM, MAM), encryption implementation (Architecture, PKI), database (Distributed, Operational, NoSQL), application development (API) and DevSecOps/SDLC.
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Scripting knowledge (Ansible, Bash, Python, Powershell). Proven experience with Azure, Azure DevOps and working within CI/CD pipelines. Scripting knowledge (Ansible, Bash, Python, Powershell.
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Experience developing and maintaining Cloud CI/CD pipeline tools and environments in a large enterprise using Github, Jenkins, Github Actions Build automation tools, Cmake, Bazel, Conan, Docker, Terraform Experience in Github version control doing merging and branching of code with automation Experience writing scripts using Python, Bash, PowerShell, and/or Groovy Experience working with cloud platforms and services particularly GCP but any cloud service is good too (AWS, Azure, GCP, etc.
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We support our customers with embedded support and licensing agreements, helping them build custom Docker and VM images for public cloud distribution, joint GTM planning and long term strategic partnerships.
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Working knowledge of ARP, VoIP (H.323, SIP), and routing protocols such as OSPF & BGP.Basic programming skills, with the ability to read and develop simple UNIX shell scripts using Bash. Experience providing support to direct customers, resellers, O&M, and field personnel in resolving company product related issues.
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GCP/CloudRun Docker Kubernetes Jenkins GraphQL. Java Spring/SpringBoot HTML/CSS Angular/React JavaScript/jQuery Node.js HTTP/REST SQL GitHub. Rally Adobe Analytics SharePoint Adobe Experience Manager Headless Content Management Systems.
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Python, linux, react, typescript, jest, php, gcp, auth0, machine learning, tensor flow, sanic, gitlab, npm, nginx, big query, optimize, google data studio, sql, docker, kubernetes, retool, data fusion(spark), javascript.
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