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We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others. Solid understanding of cloud services like Azure/AWS/GCP, native controls, security center, DDOS protection, cloud firewalls, CASB, express route, cloud data storage, cloud storage, Kubernetes, data sharing related technologies, NetApp, Site recovery, CDN, MS defender, MS Sentinel, AWS EC2, AWS Guard, AWS KMS, Cloud Watch, Lambda, cloud containers, etc.
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Experience with cloud infrastructure - AWS, GCP or Azure. Aescape is seeking a Staff or Principal level systems software engineer to join our Robotics Platform team. We have a pipeline of architecture and systems software work and are looking for a stand out engineer to join us.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Familiarity with virtualization technologies (VMware, Hyper-V) and cloud services (AWS, Azure, GCP). This position involves serving as a Subject Matter Expert (SME) within a specific domain such as network, storage, server management, virtualization, O365, Cloud, Monitoring, or Automation.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Administration experience of distributed computation and streaming frameworks, like Kafka, Cassandra, Elasticsearch, Flink, Storm, Spark, and cloud services EMR, Dataproc, Elasticache, AWS RDS, GCP SQL or similar.
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3+ years professional experience with cloud computing technology and its concepts (e.g. AWS, Azure, GCP) and virtualized (e.g. VMWare, OpenStack) Cloud security patterns: Rehydration, landing zone, ingress/egress traffic management.
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
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Involvement in building Infrastructure as Code (IAC)Willingness and the ability to pick up and learn new coding languagesDeep understanding of security, reliability, performance and cost-effectiveness of distributed systems on public cloud providers like Amazon AWS, Microsoft Azure and Google GCP.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js.
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This role will also assist the team in vulnerability management, patch and compliance activities, and public cloud remediation efforts. DevOps Engineer developing pipelines, administering Kubernetes, and creating and hardening containers using Dockerfile.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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This role serves as a key technical resource designing, engineering, and delivering system hardening and image creation automation for Windows and Linux environments within the public cloud and private VMWare environments.
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Cloud Big Data Engineer, Senior - Tech Consulting. IaC & Config Management: Tools like Chef, puppet, CloudFormation ,terraform, ansible, boto3 and/or Azure/GCP equivalent. At least three years hands-on experience with various Cloud and Big Data technologies.
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Leads efforts to create hardening baseline and automation to Windows and Linux systems in cloud and VMWare environments. 5+ years Cloud technologies including IaaS/PaaS/SaaS deployments in Public Cloud.
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