Added
12 days ago
Type
Full time
Salary
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cloud kubernetes machine learning distributed systems kafka

πŸ“‹ Description

  • Drive architectural decisions across the [R]AIMS platform, evaluating tradeoffs across performance
  • Lead major technical epics from conception through delivery, decomposing ambiguous problems into
  • Simplify and rationalize distributed system architecture as the platform scales, reducing
  • Optimize platform performance across both edge and cloud deployment targets, identifying and
  • Establish strong engineering foundations and reusable technical patterns that improve developer
  • Mentor engineers at multiple levels, conducting design reviews, providing substantive code

🎯 Requirements

  • 6+ years of hands-on experience building and shipping production software systems across the full
  • Deep software engineering fundamentals with demonstrated ability to design, build, and evolve
  • Exceptional technical communication skills; able to lead through influence across engineering
  • Proven experience designing and evolving distributed systems, including service decomposition
  • Strong hands-on experience with Kubernetes and cloud-native platform architecture in production
  • Experience building data-intensive or AI-enabled production systems with real operational users and

🎁 Benefits

  • Highly competitive salary
  • Fully covered healthcare, dental, and vision coverage
  • 401(k) and company match
  • Take as you need PTO + 11 paid holidays
  • Education & training benefits
  • Generous Referral Bonuses
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