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The full tech stack includes: Next.js, Typescript, React for the frontend, NestJS and Docker for the backend, Mongo and Redis for data, and Terraform and AWS for infrastructure. Experience with the majority of our full tech stack: Next.js, Typescript, React for the frontend, NestJS and Docker for the backend, Mongo and Redis for data, and Terraform and AWS for infrastructure.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The role requires skills in the following areas: SRE/DEVOPS, Cloud infrastructure Virtual Networking, Linux, CI/CD. Additional skill sets that are appreciated are Python, Terraform, automation and knowledge of networking and services running on cloud platforms.
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Expertise with AWS, Kubernetes, containers, CI, CD, IaC, Terraform, Linux, and microservice architecture. Expertise with AWS, Kubernetes, containers, CI, CD, IaC, Terraform, Linux, and microservice architecture.
$160,306 - $216,884 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Establish an IaC framework using terraform for AWS. Deploy and manage infrastructure in AWS. Automate manual tasks using python, ansible etc,. Strong programming skills in Python, Scripting, CloudFormation, Terraform, python, and or similar configuration languages (Ansible, Chef, etc.
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Strong knowledge of IaC via Terraform HCL, SQL, Python, Apache Spark, Gitlab CI/CD pipelines, MLOps. Use Terraform to provision and deploy Databricks clusters, workspaces, and associated AWS resources.
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Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes. 3 years’ experience with Databricks Lakehouse Platform Architecture on AWS. As a Databricks Platform Engineer , your role involves performing Databricks Platform administration and deploying applications on the AWS Databricks platform.
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Familiarity with Infrastructure as Code (IAC) tools like Terraform, Ansible, or Cloud Deployment Manager for provisioning and managing cloud resources. Develop and maintain Infrastructure as Code (IAC) scripts and templates (e.g., Terraform, Ansible) to provision and manage cloud resources on platforms like AWS, Azure, or GCP, with a strong focus on security configurations.
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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc. Experience with Databricks, Airflow, Docker, and Terraform is a plus.
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Expertise with Azure DevOps, Terraform, CloudFormation, PowerShell, JSON, YAML, GIT, Python, and Bash. Expertise with Azure DevOps, Terraform, CloudFormation, PowerShell, JSON, YAML, GIT, Python, and Bash.
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Establish an IaC framework using terraform for AWS. Deploy and manage infrastructure in AWS. Automate manual tasks using Python, Ansible, Shell scripting. Experience with CloudFormation, Terraform, python, and or similar configuration languages (Ansible, Chef, etc.
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Deep understanding of Infrastructure as code solutions and tools, such as Terraform, and Cloudformation. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
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Demonstrated experience with infrastructure as code applications (Chef, Ansible, Terraform, etc.) We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
$140,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge developing and debugging in Python, GoLang, Perl, and some knowledge in Tensorflow and model deployment tools like Airflow, Databricks, AWS, Docker. Knowledge developing and debugging in Python, GoLang, Perl, and some knowledge in Tensorflow and model deployment tools like Airflow, Databricks, AWS, Docker.
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Experience in building, deploying, and running scalable infrastructure within AWS and Kubernetes ecosystems using Terraform and other cloud native approaches. Familiarity with open-source distributed data processing frameworks such as Hadoop, Apache Spark, AWS RedShift, etc.
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C#, and scripting ability (Ruby, Bash, Perl, Shell, Python, and/or JavaScript) Domain-related experience or knowledge with computer vision, photogrammetry, 3D modeling, artificial intelligence, signal processing, image recognition, GNSS, or similar.
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