Staff Backend Software Engineer, Machine Learning (US/Canada - Remote)

Key Skills

Java Programming, Python Programming, Azure, AWS, TensorFlow, R Programming, MLflow

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 here.

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)
• Experience using Big Data technologies like Spark, Hive etc.