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Remote

Sr. Software Engineer (Front-End), Machine Learning (US/Canada - Remote)

Cloudera, Inc.
United States, Washington
August 18, 2022
Job Description:

Cloudera is looking for a Frontend Software Engineer to join the machine learning platform team and help drive development of Cloudera's next-generation machine learning and data science platform. You will be responsible for helping design, build, and deliver a platform that accelerates machine learning from exploration to production. This role requires an empathetic mindset and close collaboration with backend infrastructure engineers, data scientists, designers, and product management.

We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive.

The role offers significant opportunities for growth.

Responsibilities

  • Help build the leading platform for machine learning in the enterprise

  • Design, code, and implement clean and elegant user interfaces and workflows

  • Work to enhance developer velocity and team agility

  • Build strong relationships and collaborate with UX designers, other developers, quality engineers, as well as, Product Management, Field Engineering, and other external partners

Qualifications

  • 3+ years of experience web applications using Go, node.js, or other modern web services technologies.

  • Experience with modern JavaScript frameworks such as Angular, React, Ember, Vue, etc.

  • Experience with server-side JavaScript tooling such as Node. js, npm, webpack, babel, etc

  • Self-driven and motivated, with a strong sense of ownership and craftsmanship.

  • Strong written and verbal communication skills.

Pluses

  • Experience with data science and machine learning tools (R, Python, Tensorflow, Spark)

  • Experience with containerization (Kubernetes)

  • Experience building scalable, robust and secure Enterprise applications

  • Experience with cloud technologies (AWS, GCE, Azure)

  • Experience with microservices development (Go, GRPC, SQL)

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