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Senior Backend Software Engineer, Machine Learning

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

Cloudera is looking for a Senior Backend 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 frontend / web UI 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.

Read about the Forrester Wave Report on Cloudera's Machine Learning offerings .

Responsibilities

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

  • Design, code, and implement elegant, scalable, enterprise-quality application services

  • Work to enhance developer velocity and team agility

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

Qualifications

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

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

  • 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, mlflow etc.)

  • Experience with containerization (Kubernetes)

  • Experience building scalable, robust and secure Enterprise applications

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

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