Requirements

• 8+ years experience in software development engineering.
• 4+ years experience designing and developing distributed system components, with knowledge of consistency, availability, and fault tolerance principles.
• Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
• Solid DevOps and operations experience including CI/CD, automation, on-call, and incident response.
• Familiarity with observability tooling and practices such as metrics, alerting, SLOs, and dashboards.
• Good grasp of distributed systems: scaling, resilience, and failure modes.
• Clear communication and ability to guide design decisions.
• Proficiency in leveraging AI to enhance engineering tooling and processes.

Nice to Haves

• Kubernetes experience.
• Python programming skills.
• Go programming skills.
• Experience with Prometheus and Grafana ecosystems.

What You'll Be Doing

• Running and evolving Workday's primary time-series monitoring and alerting platform at very large scale.
• Owning technical direction on challenging problems related to AI-driven demand including ingestion resilience, write & read performance, API hardening, security compliance, and budget management.
• Leading design decisions and root cause analyses (RCAs).
• Mentoring mid-level engineers.

Perks and Benefits

• Workday Bonus Plan eligibility and potential role-specific commissions/bonuses.
• Annual refresh stock grants awarded by Workday Inc.
• Flexible work approach combining in-person and remote work, with at least 50% time spent in office or field each quarter.
• Supportive company culture rooted in integrity, empathy, and collaboration.
• Commitment to reasonable accommodations during the application process and employment.