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Familiarity with or desire to learn our tech stack which includes, but not limited to: Flask (Python), Elixir, AWS, RabbitMQ, PostgreSQL. The Ramp team comprises talented leaders from leading financial services and fintech companies-Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One-as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
InternExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Develop robust APIs and backend services using Python frameworks like Django or Flask. The founding team has experience working in startups such as AppDynamics, Mulesoft, and Thumbtack and also bigger companies such as Netflix and VMware.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies.
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Expert in the use of Python to develop tools, APIs, and Web development (e.g., Flask). Solid hands-on experience with various networks, monitoring software, remote assistant tools, firewalls (OS level command line and GUI interface), and operating system switchesFamiliar with various network management/troubleshooting tools.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Additional skills in RESTFUL API design, especially Flask, Django, or FastAPI are good to have. Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. These companies include SpaceX, Anduril, GoPuff, HackerOne, Cloud9, and others.
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Hands-on experience with various Python tooling and frameworks (Django/Flask/Pandas/Airflow). Hands-on experience with various Python tooling and frameworks (Django/Flask/Pandas/Airflow). Companies like Google, Schneider Electric, Unilever, and Campbell’s rely on Everstream Analytics to push their supply chains to be faster, smarter, safer, and sustainable.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies.
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Familiarity and working knowledge would be needed in some of these: Python (Flask) Java Enterprise Programming (Tomcat, Apache, Spring Framework) DataIku, Tableau DataLake (Impala, Hive query building) HDFS, ETL Microsoft Azure Cloud Services APIGEE Koreai (Knowledge Graph and Pattern build) Akamai CDN Service Building application on DMZ Search engine and indexing tools (SOLR.
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And web-app development stacks (e.g., Flask/Django). Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.
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Python, Django, Flask, mypy, OpenAPIGit, Jsonnet, Jenkins, Docker, Kubernetes. Python, Django, Flask, mypy, OpenAPIGit, Jsonnet, Jenkins, Docker, Kubernetes. Dog-friendly office (CAM office) - 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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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
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Our benefits include highly competitive pay, equity, and fully paid health / vision / dental insurance for you + dependents, unlimited PTO and tons of office snacks! What you'll doDesign and implement the capabilities of the Virtualitics AI Platform (Python, Jenkins, Docker/Kubernetes environment.
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Experience with technologies like task schedulers (e.g., Celery, Airflow, Prefect, etc.) Experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc. 3+ years of experience with Docker and/or Kubernetes.
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3+ years of experience writing production-ready code in Typescript. Experience integrating applications with at least one of Spark, Dask, Snowpark, or Kafka. 3+ years of experience writing production-ready code in React and a React framework like NextJS3+ years of experience with AWS or other cloud computing frameworks.
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PlusesExperience developing machine learning models and other data science techniques (and/or working alongside people with this experience). The platform has been deployed across Department of Defense agencies, Federal Civilian agencies, and Fortune 500 companies.
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