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At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. 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. 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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc.
Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.)
Experience building and deploying Generative AI applications
Full stack experience with React, HTML, CSS
Experience with data science and machine learning tools (R, Python, Tensorflow, Spark)
Deep understanding of cloud-based networking
Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
Experience using Big Data technologies like Spark, Hive etc.
Proven track record of collaborating with agile teams across geographically dispersed locations