Principal, Software Development Engineer

Workday

Pleasanton, CA, USA
Base: $206,400 usd - $309,600 usd; bonus/equity: m...
Hybrid (flexible work with at least 50% in-office time quarterly)
Ai-native infrastructure
Distributed systems
Ai/ml analytics in production
Workday is seeking a Principal Software Development Engineer to lead the development of AI-native infrastructure tools and automation frameworks. The ideal candidate will possess extensive experience in distributed systems and a strong technical background in AI/ML analytics, with a focus on enhancing Workday's infrastructure through innovation and collaboration

Job Summary

  • Lead the development of our internal suite of AI-native infrastructure tools and automation frameworks.
  • Evolve our infrastructure from "human-led" to "AI-led, human-governed," using your technical background to automate complex lifecycles and improve system resolution times.
  • We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.

Matching Summary

Match Score: 85

Workday is seeking a Principal Software Development Engineer to lead the development of AI-native infrastructure tools and automation frameworks. The ideal candidate will possess extensive experience in distributed systems and a strong technical background in AI/ML analytics, with a focus on enhancing Workday's infrastructure through innovation and collaboration.

Salary

Base: $206,400 USD - $309,600 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • AI-native infrastructure
  • distributed systems
  • AI/ML analytics in production
  • Infrastructure-as-Code (IaC)
  • container orchestration
  • API-first approach

Nice-to-have

  • sun-drenched optimism and drive
  • courageous collaborators
  • people manager experience

Key Requirements

  • Extensive professional software engineering experience
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • Deep experience in large-scale platform architecture
  • Strong technical background in IaaS, PaaS

Work Rights

Not specified

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