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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP. Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark. to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes.
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Google Cloud Platform (GCP) or AWS. Across our engineering teams, we also use Scala, GCP, Spark, Kubernetes, Python, TypeScript, Angular, and anything else that helps us get the job done.
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Experience using any cloud services stack such as AWS, Azure or GCP. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems.
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Extensive experience in Cloud platform architectures, with at least one of AWS, GCP, or Azure. Titles to look for include Principal Engineer, Staff Engineer, or Lead Engineer.
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4+ years large-scale, distributed service engineering experience in a software development environment, preferably on cloud-based platforms like AWS, GCP, Azure, OCI, etc. At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors.
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Experience with cloud environments preferred (AWS, GCP, Azure, etc.) Build and manage relationships with our EIT Shared Services Teams, Enterprise Architecture, Risk & Security, Regional Client Services (RCS) partners at the manufacturing sites, and medical business resources.
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Experience developing ML algorithms to improve data warehouse architecture in a cloud system (preferably GCP ) This position receives little technical support from management and must be comfortable supporting disaggregated compute (cloud native, hybrid web, and client analytics) meeting a diverse research and development staff in the languages best suited to the task (Typescript, Java, Python, R.
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Cloud platform expertise (GCP, AWS, Azure) must have. Investigate escalated security alerts and threat hunting leads across a variety of technologies (SIEM, EDR, email security, etc) for both on-prem and cloud environments, collaborating closely with Tier 1 SOC and with Threat Management team.
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Experience working in cloud platforms (Snowflake, AWS, GCP, Azure) The ideal candidate will have a strong background in Snowflake, SQL, Java, and Python, with a proven track record in supporting complex software solutions in cloud environments.
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Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) We are looking for a Machine Learning Engineer to collaborate with and support our newly formed data science team.
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As a GCP Cloud Engineer, you will provide day-to-day responsibility for key cloud-native infrastructure, computing, database, network, storage, and interoperability initiatives.
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5 years of experience with AWS/GCP/Azure, preferred AWS. AWS Solutions Architect certifications is preferred. 3+ years of experience on Monitoring tools (Prometheus, Grafana / Splunk) and engineering cloud migration solutions.
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5+ years experience with public cloud platforms & systems (AWS, GCP, Azure). 7+ years experience as ML engineer or lead data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
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cloud engineer gcp jobs in Salt Lake City, UT
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