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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Knowledge on AWS Code Pipeline, CI-CD Pipeline, Docker, Kubernetes and Monitoring tools, SRE (Site-reliability Engineering) Knowledge on AWS Code Pipeline, CI-CD Pipeline, Docker, Kubernetes and Monitoring tools, SRE (Site-reliability Engineering.
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Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Dog-friendly office (CAM office) Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Experience in cloud and containerization technology using tools like Docker, Terraform, Kubernetes, etc. Deploying using Kubernetes, Docker, and Terraform? Manage AWS resources proficiently using Terraform, Docker, Lambdas, Cloud Formation, Cloud Watch, Data Dog, etc.
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Expertise with either AWS, Azure, and Services/Tooling such as or like: Terraform, Packer, Docker, Kubernetes, Helm, Prometheus, Grafana, Fluent Bit, Istio (Service Mesh) Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
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Experience with programming languages like HTML, Ruby, Ruby on Rails, PHP, Python, C# or Java, Go Language, Swift, Docker, Azure, AngularJS and Angular 2. Experience with programming languages like HTML, Ruby, Ruby on Rails, PHP, Python, C# or Java, Go Language, Swift, Docker, Azure, AngularJS and Angular 2.
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Support practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Nexus, Terraform, Git and Docker.
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Specific experience with our infrastructure tech and tech we'd like to use (Ansible, Terraform, Jenkins, Git, Docker, Kubernetes, AWS, Oracle Cloud, CloudFlare, Python, Kafka, Hazelcast, CDNs, MySQL, Elasticsearch, Oracle databases, DataDomain, Load Balancers, DNS, LDAP.
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Hands-on experience in Infrastructure-as-Code and Configuration management tools and technologies: Terraform, Kubernetes, and Docker. Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery.
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Preferred: Experience in container based architectures: Kubernetes, ECS, Docker. Our mission is backed by some of the strongest leaders in the industry, such as Qualcomm Ventures, Tiger Global, Carrier, and Ray Stata, co-founder of Analog Devices.
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Slurm-based on-premises compute clusters, Google Cloud Platform, AWS, Docker, Singularity, Kubernetes, Python (Numpy, Pandas, Dask, PyTorch, TensorFlow, sci-kit learn, RDKit, Weights and Biases etc.
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Our stack is Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations. Our stack is Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations.
$141,000 - $175,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working in a Docker-first environment with Kubernetes or AWS-ECS. VideaHealth is supported by some of the best investors in the world, having raised over $27M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta.
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Proficiency with Kubernetes, Google Cloud Run (or similar), Google Cloud Functions (AWS Lambda or similar), and Docker are a must. Proficient in Dart/Flutter programming languages (or similar; i.e. Python, Typescript, Java, etc.
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4+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems.
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