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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Use of deep understanding/experience in Cloud technologies (AWS, MS Azure, Google Cloud, IBM Cloud, Oracle cloud) to support customer. and its use as an automated provisioning mechanism to provision multiple cloud service provider’s servers including Azure and AWS Windows and Linux AMIs.
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Experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) Understand advanced software development practices, and have a solid knowledge of and experience with Bash, Puppet, Groovy, YAML, JSON, Java, and Python.
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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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Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models at scale. Proficiency in programming languages such as Python, with experience in machine learning libraries such as OpenAI, TensorFlow, PyTorch, or Keras.
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3+ years of experience with AWS, Google Cloud Platform, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript,Node.js, Angular JS. SQL, Python, and Go, 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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Demonstrated expertise in working with cloud-based platforms (e.g., AWS, Azure, Google Cloud) Prior experience as a technical lead, providing engineering management and architecture vision across full stack web development technologies (i.e., Java, Angular, Python, Node.js, React, Flask/Django, etc.
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S DegreeAt least 6 years of experience in software engineering (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications:Master.
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Deploying AWS applications with AWS's Cloud Development Kit (CDK), building and deploying containerized applications, working with and maintaining search engines such as ElasticSeach, Lucene, or AWS's OpenSearch, creating, working with and maintaining SQL and NO-SQL databases, and experience with other non-AWS cloud services such as Google Cloud Platform and Microsoft Azure.
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Utilize programming languages like Java, Python, SQL, Node 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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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java.
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2+ years of experience with AWS, GCP, Azure, or another cloud service. 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Foundational cloud concepts associated with one or more of the following: Amazon Web Services (AWS), Microsoft Azure, Oracle Cloud, Google Cloud Platform, or IBM Cloud.
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Utilize programming languages like Python, SQL, Spark and Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and a variety of AWS tools and services.
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Experience in cloud architecture and design for solutions in AWS, Azure, and Google Cloud. Proven experience in application solution creation using container or cloud-based technologies, including AWS and Azure.
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