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Infosys is seeking a Lead Site Reliability Engineer (SRE) with expertise on RedHat OpenShift container Platform, Kubernetes, Docker, Azure cloud PAAS/IAAS technologies, Ansible, Puppet and Chef, bash scripting or python scripting or shell scripting for automation and building CI/CD pipelines.
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Certification in the following technologies: Cloud, Networking, Security, cloud-native application architecture (i.e., containers, microservices, API management), modern software development techniques like DevOps and CI/CD tool chains (i.e., Jenkins, Spinnaker, Azure developer services, GitHub) and container orchestration systems (i.e., Docker, Kubernetes, Cloud Foundry, Azure Kubernetes Service, GitHub.
$129,200 - $248,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Watch the below videos of us participating in Industry events with the Top companies in Technology at Oracle Cloud World/Oracle Java One (Las Vegas) and at Gartner Data Analytics Summit (Florida.
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Experience with Palo Cloud, SOAR, Twistlock, Redlock and Prisma Access. Understanding of Openshift, Docker and Kubernetes container environment. 3+ years of experience in Public Cloud technologies including AWS and Microsoft Azure specifically in networking and security solutions and implementation.
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DevOps and MLOps: Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Use the Continuous Integration and Continuous Delivery tools Bitbucket, Maven, Jenkins, Nexus, UCD to version control, build, store artifact, and deploy the software projects to modern cloud environments like OpenShift, AWS.
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3+ years of experience in leading the team in deployment of ForgeRock platform in Cloud platform (EKS/AKS/GKP)Experience with DevOps tools like Jenkins, Docker, Kubernetes, Ansible, etc.
$97,613 - $188,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Experience: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms.
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Programming - JSON, Angular,.net core, C#, Python, VS Code Database - SQL, MS Azure Blob Storage, MS Synapse, OSI PI Historian Cloud IoT Azure IoT Hub, AWS IoT Core and related cloud services.
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Experience with cloud (AWS & Azure) and containerization (Kubernetes & Docker) Work with IT to optimize usage of Cloud Services(AWS/Azure) to reduce costs. The Director Applications & Development reports to the Vice President Applications & Development and.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong development skills in Python Proficiency in Microsoft tools: Excel, PowerApps, and PowerBI.Familiarity with GitHub Action, YAML pipeline, Docker, and Kubernetes. Collaborate with Geneva's Citizen Development team, focusing on Python and VBA.Lead and engage Citizen Developers community, facilitating upgrades and cloud implementations.
$80,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Sr. Network Engineer SME has a broad, generalist knowledge of on-prem infrastructure security and knowledge in public cloud infrastructure and automation. This role will include capabilities on presenting network security solution design options for securing Internet and Partner facing architectures, container security, multi-cloud and end point security awareness.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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