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Google Professional Data Engineer / Cloud Developer certifications are a plus. We create and manage analytics infrastructure and cloud-based systems, with technologies such as Python, SQL, Docker/Linux, and serverless capabilities and infrastructure (Snowflake, PostgreSQL, RedShift, Lambda, etc.
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Experience with Google Cloud Platform, Kubernetes, Docker, CircleCI, Git, Golang, Java. c#, developer, devops, java, programming, software development engineer, software engineer, software programmer.
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Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services. Experience with container and container orchestration technologies such as Docker, Kubernetes, CloudFoundry, Mesos, etc.
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Familiarity with cloud computing principles and experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. c#, developer, perl, python, software engineer, software programmer.
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Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform. Experience with containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.
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GCP Associate Cloud Engineer or other related Google Cloud experience preferred. Design, test, build and deploy Google Cloud projects in collaboration with system engineer and development team.
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Advanced mastery of technologies like TypeScript, Node.js, Google Cloud Platform, Cloudflare, Terraform, Docker, Shell, and GitHub Actions. Experience with our modern web application tech stack - Next.js, Prisma, Google Cloud Platform, Apollo Server, Postgres, Cypress, Jest.
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Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience building enterprise-grade software in a cloud-native environment (GCP or AWS) leveraging cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Minimum of 3 years of experience with Cloud databases - AWS Redshift, Snowflake, Azure SQL database, Google Cloud SQL or similar. The Sr. Data Engineer will be a champion of the latest Cloud database technologies & data engineering tools.
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Become an internal expert on our Web Application architecture which includes a Vue.js Front End, a Python Django Web API, and various GCP cloud infrastructure including Google Kubernetes Engine, Cloud SQL for PostgreSQL, Cloud Storage, and BigQuery.
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Proficiency in working with cloud platforms such as AWS, Google Cloud, or Azure, and leveraging cloud-based services for deploying and managing backend infrastructure. Experience with containerization and orchestration technologies such as Docker and Kubernetes.
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Cloud and Containerization Proficiency: Familiarity with cloud platforms (AWS, Google Cloud) and containerization technologies (Docker) is essential for developing scalable and resilient applications in today's cloud-centric world.
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Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerization technologies (e.g., Docker, Kubernetes) As a DevOps Engineer, you will play a vital role in designing, implementing, and managing the infrastructure that enables the delivery of high-quality software solutions.
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Some hands-on experience with: Docker, Kubernetes, Google Cloud/AWS, Swagger/gRPC. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others.
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Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Experience: Proven experience as a Senior Backend Engineer or Tech Lead, ideally in a SaaS environment.
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google cloud docker engineer jobs in Scranton, PA
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