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Cloudera

Staff Software Engineer – AI

Cloudera

Staff Software Engineer developing next-generation AI and machine learning platform at Cloudera. Collaborating with cross-functional teams to design and implement scalable AI services.

Posted 6/2/2026full-timeSan Jose • California • 🇺🇸 United StatesLead💰 $184,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsGoGRPCJavaJavaScriptKubernetesMicroservicesNode.jsPythonSQL

About the role

Key responsibilities & impact
  • Help build the leading platform for AI and Machine Learning in the enterprise.
  • Design, code, and implement elegant, scalable, enterprise-quality AI inference services powered by machine learning models.
  • Design and Develop AI Model Registry and AI applications
  • 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

What you’ll need
  • Bsc/Msc in related field or equivalent experience
  • 10+ years of experience building scalable microservices or applications using Go, Python, Node.js, C# or Java
  • Experience building and deploying AI Inference and Generative AI applications.
  • 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 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 in building highly scalable, robust and secure enterprise applications
  • Self-driven and motivated, with a strong sense of ownership and craftsmanship
  • Strong written and verbal communication skills.

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
GoPythonNode.jsC#JavaAI InferenceGenerative AImicroservicesKubernetesSQL
Soft Skills
self-drivenmotivatedownershipcraftsmanshipcommunication
Certifications
BScMSc