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Tech stack Web: react, typescript, typescriptBackend: go, kubernetes, postgres Infrastructure: AWS, GCP, terraform. Antenna Engineer - Mid to Senior Levels (Job ID P10) Until now, engineering teams have embarked on multi-year journeys to introduce robust environment management, automated deployments, IaC practices, security and access policy, and cost optimization into their development processes.
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Primary purpose of this position is to understand, deliver, demonstrate, and fully implement a process solution that meets and aims to exceed our customer requirements - primary location is in Northeast United States.
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The Environmental & Sustainability Compliance Manager will provide global support to multiple Client functions through the implementation of product stewardship processes related to product chemical compliance and sustainability activities.
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Our global team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit.
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Leverage AWS services like EC2, S3, RDS, and Lambda to build and deploy applications on the cloud. Stay up-to-date on the latest advancements in Ruby and cloud technologies.
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You will work with a variety of global teams (including Finance, Transformation, IT, and HR) to identify opportunities to improve and automate Finance processes and help institutionalize Finance business process knowledge.
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All Student Union at San Jose State University employees are considered mandated reporters under the California Child Abuse and Neglect Reporting Act and are required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.
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MUST HAVE TO BE CONSIDERED: Scala or Python, Hadoop, Spark, Python or PySpark, GCP or Azure, Java, Kafka, Automic or Airflow. As a Walmart Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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National Express Shuttle (operated by WeDriveU) and Transitisa business unit of global mobility provider MobicoGroup. Recognized as a pioneer in mobility, WeDriveU is a strategic partner to the world’s top brands, with client programs that consistently earn awards for excellence in commuting and sustainability.
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Digital Systems department at NIO is responsible for building highly reliable, secure, and scalable infrastructure and platforms for intelligent and fully autonomous driving vehicles, and its scope ranges from vehicle operating system software platform, central computer and SObased digital architecture, automation simulation test platforms, cyber security, vehicle cloud & connectivity.
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Surrounded by rolling hills, San Jose is the major technology hub in California's Bay Area. Nicknamed the Capital of Silicon Valley, San Jose is home to many global tech companies including Cisco Systems, eBay, Adobe Systems, PayPal, Brocade, Samsung and Western Digital, to name a few.
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Cloud certifications such as AWS Solution Architect and GCP Cloud Architect are desired. In depth knowledge and hands on experience with one or more of the following public/private cloud platforms: AWS, Azure, GCP, NSX.
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As a Principal Engineer, you will have the incredible opportunity to be at the forefront of artificial intelligence, machine learning, and deep learning research and development. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses.
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Your role will be instrumental in crafting Skilljar's go-to-market strategies, understanding and defining customer needs, and fostering strong collaboration across product, sales, and marketing teams to tell the Skilljar story.
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In this role, you will be responsible in building first-party platform that provides shared infrastructure and services that enable customer-facing Google Cloud products to build Large Language Model (LLM) powered products and features (e.g., Gemini Code Assist and Gemini Cloud Assist.
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