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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 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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Familiarity with Microsoft Azure and Google Cloud Services. Experience working with OpenStack, Rackspace, Kubernetes, Docker. Experience with SOA applications and cloud-based services, preferably AWS.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, 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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They are exploring Cloud Technologies (Azure, AWS, Google) and will be bringing it into production. DevOps Engineer - Cloud - Azure. Working knowledge of Kubernetes and or containerization.
$100Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Cloud / Virtualization Helm, Docker, Kubernetes, AWS, Azure, Google Cloud, OpenStack, OpenShift, VMware vSphere / Tanzu. Knowledge of Kubernetes, OpenNESS and experience of deploying cloud native applications.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with web frameworks (e.g., Django, Spring, Ruby on Rails.
$60,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 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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Strong expertise in cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). Proficient in containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with automation and configuration management tools (e.g., Ansible, Terraform.
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Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Experience with infrastructure as code (IaC) tools like Terraform or Ansible is a plus. Proficiency in programming languages such as Python, and experience with popular ML frameworks like TensorFlow or PyTorch.
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Lead Software Engineer, Back End (Go/Python, AWS, Kubernetes) 2+ years of experience with AWS, GCP, Azure, or another cloud service. 3+ years of experience with Kubernetes. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Experience with deployment on hosting providers, such as Google Cloud, Azure or AWS. Familiarity with Kubernetes, infrastructure as code (such as Terraform). 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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Our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform. We come from companies like Google, Facebook, Spotify, Oscar Health, and Twilio. We come from companies like Google, Facebook, Spotify, Oscar Health, and Twilio.
$175,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience with cloud services such as EC2, S3, or Kubernetes. Developing infrastructure as code (IaC) scripts and configuration management tools to provision, configure, and manage cloud infrastructure and environments.
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Experience with relational databases (e.g., MySQL, PostgreSQL) and writing efficient SQL queries. Familiarity with NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in at least one backend programming language such as Python, Java, or Ruby.
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Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Container Orchestration: Utilize container orchestration platforms (e.g., Kubernetes, Docker Swarm) to manage containerized applications, ensuring scalability, reliability, and performance.
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