Primary location base pyy range: $206,400 usd - $3...
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Ai-native infrastructure
Distributed systems
Ai/ml analytics in production
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Workday is seeking a Principal Software Development Engineer to lead the development of AI-native infrastructure tools and automation frameworks in a fully remote setting. The ideal candidate should have extensive experience in software engineering, particularly in distributed systems and AI/ML analytics, alongside strong leadership and collaboration skills.
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Job Summary
Lead the creation of frameworks that utilize AI and ML-driven telemetry to automate infrastructure.
Your mission is to evolve our infrastructure from "human-led" to "AI-led, human-governed," using your technical background to automate complex lifecycles and improve system resolution times.
As a Principal Software Engineer within Infrastructure Engineering, you will be the strategic leader delivering complex services in a dynamic, evolving environment.
Matching Summary
Match Score: 75
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Workday is seeking a Principal Software Development Engineer to lead the development of AI-native infrastructure tools and automation frameworks in a fully remote setting. The ideal candidate should have extensive experience in software engineering, particularly in distributed systems and AI/ML analytics, alongside strong leadership and collaboration skills.
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Salary
Primary Location Base Pay Range: $206,400 USD - $309,600 USD; Additional US Location(s) Base Pay Range: $173,300 USD - $309,600 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, as well as annual refresh stock grants
Skills & Requirements
Must-have
AI-native infrastructure
distributed systems
AI/ML analytics in production
Infrastructure-as-Code (IaC)
container orchestration
automation frameworks
Nice-to-have
sun-drenched optimism and drive
courageous collaborators
API-first approach
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