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Full Stack Software Engineer, Platform Engineering

Remote / Online - Candidates ideally in
Wisconsin, USA
Listing for: Cloudera
Full Time, Remote/Work from Home position
Listed on 2026-01-12
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Full Stack Software Engineer, Platform Engineering

Why consider this job opportunity

  • Opportunity for career advancement and growth within the organization
  • Flexible work-from-home policy
  • Generous PTO policy and support for work-life balance with Unplugged Days
  • Comprehensive benefits and competitive packages
  • Access to continued career development and mental & physical wellness programs
  • Phone and internet reimbursement program
What to Expect (Job Responsibilities)
  • Own the architecture by designing and documenting the end-to-end AI workflow stack with clear interfaces and versioning
  • Ship production systems by building reliable, low-latency services that integrate foundation models and traditional microservices
  • Implement robust testing frameworks to ensure deterministic and predictable behavior from the AI-powered data platform
  • Optimize cost and performance by analyzing and improving unit economics and system performance metrics
  • Mentor and provide technical leadership across teams, while translating product intent into technical plans
What is Required (Qualifications)
  • Bachelor’s degree in Computer Science or equivalent
  • Minimum of 6 years of experience in software engineering
  • Expertise in at least one primary programming language (Rust preferred) and cloud-native architectures
  • Proven experience integrating AI/ML models into user interfaces
  • Familiarity with data governance, PII handling, and compliance considerations
How to Stand Out (Preferred Qualifications)
  • Experience designing reusable AI workflow primitives or internal platforms used by multiple product teams
  • Familiarity with vector databases and retrieval strategies
  • Experience with model lifecycle management and prompt/version management
  • Built robust tracing/metrics/logging for AI systems
  • Experience managing machine learning workloads on container orchestration platforms like Kubernetes

#Data Analytics #Software Development #AI #Career Growth #Remote Work #Tech Jobs

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