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Front-End Development: Participate in the development of front-end components and features using modern web technologies such as HTML, CSS, JavaScript, Kubernetes API, and frameworks like Node.js, Vue.js, and Kubernetes.
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Experience with AWS or GCP, EC2 (GCE), IAM, S3 (GS), Docker, Kubernetes pods, Jenkins, Prometheus, CloudWatch (Stack Driver), Linux, Ansible. Support infrastructure components, data streaming frameworks and databases, such as Kubernetes, Flink, Storm, Spark, Kafka, Cassandra, Elasticsearch, Redis, Postgres, ArangoDB, and many others.
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Experience Container Security experience with Docker, ECS, Kubernetes. One or more of the following certifications: AWS Certified Solutions Architect (professional), AWS Certified Security (Specialty), CSA Certificate of Cloud Security Knowledge (CCSK), ISC2 Certified Cloud Security Professional (CCSP), CISSP.
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Demonstrating your familiarity with the DNS protocol, security best practices, and Kubernetes for extra kudos. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
$119,000 - $222,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with configuration tools: AWS Config, AWS Inspector, SDK/CLI. Vulnerabilities tools: Prisma Cloud, Crowdstrike, etc. Develop architectural documentation and best practices for infrastructure, applications, data protection and IAM security.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in MLOps architecture tools (Docker, Kubernetes, Airflow, Kubeflow) and experience designing and implementing APIs in a Python stack. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Experience with virtualization such as VMware ESXi, any public cloud (AWS, GCP, Azure), Docker and/or Kubernetes Must have hands-on experience in supporting and managing Google Workspace and Office 365 Knowledge of Identity Management (IAM/PAM) concepts.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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3+ years of meaningful working experienceIdeal candidates will have an established track record working with DevOps, virtualization and HPC cluster management tools; including Docker/Containers, Kubernetes, Ansible, VMware/TKG.Expertise with dense datacenter design including compute, storage, and networking.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Automation, CI/CD and container using technologies such as Git, Kubernetes, Docker, Rancher, and Armada. Automation, CI/CD and container using technologies such as Git, Kubernetes, Docker, Rancher, and Armada.
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Experience with IPFS, KMS, OIDC, OAuth, and Fine-grained Access Control, Docker and Kubernetes. AAM is a safe and efficient system for air passenger and cargo transportation across urban and rural areas, inclusive of small package delivery and other urban Unmanned Aerial Systems (UAS) services, which supports a mix of on-board/ground-piloted and increasingly autonomous operations.
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Strong understanding of cloud technologies (e.g., AWS, Azure, GCP) and expertise managing cloud native applications on Kubernetes. Proven experience with containerization and orchestration tools (e.g., Docker, Kubernetes.
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Overall: GCP + Terraform + DevOps (Kubernetes containers) Design, deploy, and maintain GCP (Compute, IAM, VPC, Storage, Serverless, Database, Kubernetes, Pub-Sub, Operations Suit). Develop infrastructure as code (IaC) solutions using Terraform to automate provisioning, configuration, and management of GCP resources.
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Experience with cloud technologies (AWS, Azure, GCP), OpenStack, and Kubernetes. Experience with Machine Learning tools (Tensorflow, Apache Spark) Demonstrated experience with popular software stacks e.g. Python-Django, Ruby on Rails, LAMP.
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
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Experience in Docker, Kubernetes, Jenkins, Helm, Ansible and shell scripting. Hands on experiences in AWS-SDKs, AWS-CLI, Golang, Java, Python, SQL, Terraform. Hands on experiences in Golang, Java, Python, SQL, Terraform.
Full-timeExpandApply NowActive JobUpdated 7 days ago
kubernetes job in Cupertino, CA
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