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You will also have the chance to work on different public cloud platforms (AWS, GCP, Azure) to automate cloud orchestration, visualization and alerting mechanisms. Prisma Access Cloud Service operationalizes the deployment by leveraging a cloud-based security infrastructure operated by Palo Alto Networks.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Hadoop, S3, AWS, Google Cloud etc. SparkSql, Impala, BigQuery, Presto/Trino, StarRocks etc. Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, java, Python, scripting (Bash/Python) etc.
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The ideal candidate will have expertise in Cloud Kubernetes/OpenShift, application lifecycle management, experience with Cloud Kubernetes clusters, and a strong background in CICD implementation, architecture design, containerization, Dockers, and AWS.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus. With our partners at John Deere, we have the ability to bring innovative computer vision, machine learning, robotics, and product management solutions to scale production, maximizing their potential impact.
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The Sr. Joining Engineer, AWS position, reporting to the Joining Engineering Manager, is located at out Fremont Factory location. Able to work AWS night shift (12hr shift) in production and office environment.
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Writing infrastructure code in Cloud environments (AWS, Azure, GCP) using Terraform or other IaC frameworks. Observability using ElasticSearch, Prometheus, AWS/Azure/GCP tools and/or 3rd party tools such as Dynatrace, Datadog, Splunk etc.
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Hands-on experience in integrating ServiceNow with various external systems and platforms, such as AWS, Azure, Google Cloud, Salesforce, SAP, etc. Hands-on experience in developing conversational AI solutions using ServiceNow Virtual Agent, ServiceNow Chatbot, and ServiceNow Natural Language Understanding (NLU.
$55 - $61 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP). Adobe is seeking a Data Engineer who consistently demonstrates talent and motivation to join our exceptional Marketing Operations and Engineering department in San Jose. The Marketing Operations and Engineering team is part of Growth Marketing and Insights (GMI) organization and is responsible for the data architecture, transformation, and engineering needs of the entire organization.
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Hands-on experience in building resilient, cloud native and scalable distributed systemsWorking experience of container-based architecture and deployment (Docker)Working experience with Jenkins and AWS Cloud services is required.
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Experience and deep know-how around Bazel and its administrationExperience and deep know how around Docker and its administrationStrong database skillsGIS experienceExperience using React to build web UIsFamiliarity with Bash, Ansible, and infrastructure-as-codeFamiliarity with AWS automation via Boto3 scripting and/or TerraformPrevious use of continuous integration and automated testing frameworks (we use CircleCI)Familiarity with NumPy and Jupyter notebooksC/C.
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Hands-on experience with provisioning and managing AWS services such as EC2 EBS S3 IAM VPC etc using IAC tools Terraform or Cloud formation. Expert knowledge of AWS (EB, EC2, RDS, Lambda, S3, CloudFront, Kubernetes, EKS, CloudFormation, Dockeretc.
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Experience with securing hybrid on-premise and public cloud infrastructure (specifically AWS ) Strong understanding of NIST, ISO , and CIS controls compliance and certification requirements. In depth experience covering a wide range of security disciplines such as, endpoint, cloud, networking, identity and access management, DeVops, incident response, threat intelligence, and more.
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Defining project approaches and driving Data Analytics and Business Intelligence solutions leveraging GCP and Amazon Web Services (AWS) implementation activities across the solution delivery lifecycle, including requirements gathering, user story definition and process design.
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Performs preventive maintenance, routine equipment repairs, and routine corrective maintenance on mechanical/HVAC equipment (compressors, air dryers, process cooling water systems, process vacuum systems, chilled water pumps, etc.)
$45,000 - $54,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
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