Software Engineer II - Enterprise AI Platform

Business Area: Engineering Seniority Level: Associate Job Description: 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. Join Cloudera’s AI Team as a Software Engineer II to help build our next-generation Enterprise AI & Machine Learning platform. We are creating a seamless experience that accelerates ML from exploration to production, supporting the deployment of Generative AI applications in a hybrid cloud environment. Our team operates at the intersection of AI, Kubernetes, and major cloud platforms (AWS, Azure, GCP, OpenShift). We integrate with massive data sources like Apache Hive, S3, and HBase to empower data scientists and engineers worldwide. As a Software Engineer II you will: Build the Enterprise AI Platform: Design and code elegant, scalable, and secure application services that power the future of AI. Implement AI Services: Develop application services integrated with machine learning models and Generative AI workflows. Drive Engineering Excellence: Advocate for best practices, clean coding standards, and high-quality software craftsmanship. Collaborate Cross-Functionally: Partner with UI engineers, UX designers, Product Management, and Field Engineering to deliver high-impact features. Enhance Agility: Work to improve developer velocity and team agility within a fast-paced, high-growth environment. We’re excited about you if you have: Backend Expertise: 2+ years of experience building scalable microservices using Go (Golang), Node.js, C#, or Java. Kubernetes & Cloud: Hands-on experience with Kubernetes (K8s) and at least one major cloud provider (AWS, Azure, or GCP). AI/ML Tooling: Experience building applications that leverage Python, TensorFlow, Spark, or MLflow. System Design: Proven ability to create high-level and low-level designs for complex distributed systems. Full Stack Capabilities: Familiarity with React, HTML, and CSS to support end-to-end feature development. Core Skills: Strong ownership, a sense of craftsmanship, and excellent verbal and written communication skills. You may also have: Generative AI: Experience with LLMs, prompt engineering, fine-tuning, and RAG using vector databases (Milvus, Pinecone, etc.). AI Frameworks: Familiarity with LangChain, Guidance, or NeMo. Infrastructure & Orchestration: Deep understanding of cloud networking or AI/ML orchestration (Kubeflow, KServe, Knative). Big Data: Experience using Spark, Hive, or other large-scale data technologies. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-AB1 #LI-Hybrid It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal https://www.cloudera.com/careers.html Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, ... (truncated, view full listing at source)