Senior AI Software Engineer, Cloudera

• 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
• 5+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java
• Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
• Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)
• Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes
• Demonstrate ability to go deep into technology and complex distributed systems
• Experience in crafting high level and low level design
• Experience building scalable, robust and secure enterprise applications
• Self-driven and motivated, with a strong sense of ownership and craftsmanship
• Strong written and verbal communication skills

Desirable

• Cloudera is looking for a Senior Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera’s next-generation AI and machine learning platform
• You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale
• This role requires an empathetic mindset and close collaboration with frontend / web UI engineers, data scientists, designers, and product management
• The role offers significant opportunities for growth
• Help build the leading platform for AI and Machine Learning in the enterprise
• Design, code, and implement elegant, scalable, enterprise-quality AI application services powered by machine learning models
• Work to enhance developer velocity and team agility
• Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners