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Deep understanding of AWS or other cloud computing services (e.g., Microsoft Azure, Google Cloud) and the tools and systems/mechanisms that industry business units (IBUs) use daily.
$113,600 - $211,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, google, and Paypal, western union, Client, visa, Walmart labs, etc to name a few.
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Cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code tools and scalable compute technologies, such as Google Batch and Vertex. Our Compute Platform Engineering team is building a first-in-class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing (HPC.
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This year, SADA was named a Google Cloud Global Partner of the year 2023. Drive adoption of Google Cloud Platform services. Work with the Best SADA has been the largest Google Cloud partner in North America since 2016 and, for the sixth year in a row, has been named a Google Global Partner of the Year.
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Google Cloud accelerates every organization's ability to digitally transform its business and industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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The ideal candidate is technically adept in software and data development lifecycles, Agile and MVP approaches, multi-cloud capabilities (AWS, Azure, Google), as well exemplary leadership and communication abilities (both verbal and written.
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Our strong ecosystem relationships provide a significant competitive advantage, and we are a key partner of a broad range of technology providers, including Adobe, Alibaba, Amazon Web Services, Blue Yonder, Cisco, Dell, Google, HPE, IBM RedHat, Microsoft, Oracle, Pegasystems, Salesforce, SAP, ServiceNow, VMWare, Workday and many others.
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Partner with cloud providers and support confidential computeRationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.
$129,000 - $228,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience implementing cloud connectivity solutions using AWS Direct Connect, Google Cloud Platform Cloud Interconnect, and OCI Fast Connect. Experience with hosted environments such as AWS, Oracle Cloud Infrastructure, Google Compute Engine, or Azure.
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Experience with deployment on hosting providers, such as Google Cloud, Azure or AWS. Incubated out of the Maps team at Google, Niantic first created Ingress and then Pokémon GO, a cultural phenomenon and hit game played by tens of millions of people each month.
$151,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience training AI/ML models with AWS, Microsoft Azure, or Google Cloud Platform. Awareness of cloud computing environments and privacy-preserving architectures. No minimum number of years or degree requirements, provided demonstrated understanding of the range of approaches needed (e.g. model architectures, cloud infrastructure, etc.
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Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud. Lead data engineering efforts and implement data operations processes, championing data quality, consistency, accessibility, and usability.
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Visualization tool experience - preferably with Tableau or Power BISound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.
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Experiences in cloud computing platforms such as AWS, Azure, Google Cloud, and Oracle including virtualization, containerization, and orchestration tools like Kubernetes. Preferred Qualifications- 5+ years of industry experience in cloud datacenter architecture, data center infrastructure and development on AWS experience Software development experience with Automation of QA processes a big plus.
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2+ years of experience with cloud computing technologies (e.g. Azure, AWS, Google Cloud Platform, etc.) Continuous Integration/Continuous Deployment (CI/CD): using DevOps, Bit Bucket, GitHub. Experience in one or more automation languages (PowerShell, shell scripts, Perl, Python, Ansible, Terraform) desired.
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