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Software Engineer II - AI

Roles & Responsibilities

  • 5+ years of experience building scalable microservices, primarily using Go or Python.
  • Proficiency in microservices architecture, design patterns, and containerization (Kubernetes).
  • Experience with cloud platforms (AWS preferred) for application deployment and management.

Requirements:

  • Design, implement, and deliver scalable, enterprise-grade microservices for AI/ML capabilities.
  • Collaborate with cross-functional teams to translate complex requirements into robust technical solutions.
  • Improve developer velocity through automation and efficiency in development processes.

Job description

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.

Cloudera is looking for a Software Engineer II- Backend to join our machine learning platform team. You will build and scale our next-generation AI/ML platform, enabling enterprises to deploy Generative AI applications using their own data at scale. This role requires innovation, proactive ownership of features, and close collaboration with data scientists and product management.

Core Responsibilities:

  • Design, implement, and deliver scalable, enterprise-grade microservices for AI/ML capabilities.

  • Collaborate with cross-functional teams to translate complex requirements into robust technical solutions.

  • Improve developer velocity through automation and efficiency in development processes.

Qualifications:

  • 5+ years of experience building scalable microservices, primarily using Go or Python.

  • Proficiency in microservices architecture, design patterns, and containerization (Kubernetes).

  • Experience with cloud platforms (AWS preferred) for application deployment and management.

Preferred Skills:

  • Familiarity with the AI ecosystem (RAG, prompt engineering, Python, or Kubeflow).

  • Background in building secure, robust Enterprise-grade applications.

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

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