Cloud Data & AI Engineer — Distributed Systems (Stock Grants)

Workday; Boulder (CO); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Bonus plan

Annual refresh stock grants

Job summary

Workday seeks a software engineer to contribute to a cloud ops platform that ingests, computes, and aggregates curated data sets for Workday applications. The role surfaces data for front-end components and AI/ML inference generation and agentic workflows.

Requires 3-6+ years in software engineering and distributed systems, with proficiency in Java, Scala, or Python, plus experience with cloud infra (AWS/GCP) and data tools like Spark, Iceberg, or Kubernetes.

Qualifications

• Requires 3-6+ years of experience in software engineering and distributed systems with proficiency in Java, Scala, or Python.
• Experience with cloud infrastructure (AWS/GCP) and data engineering tools like Spark, Iceberg, or Kubernetes.

Skills

Distributed Systems

Java

Python

Scala

TDD

Tools

Kubernetes

Apache Spark

Apache Iceberg

Terraform

AWS

GCP

Docker

Jenkins

Grafana

Prometheus

AI-Code Generation Tools

Job description

Workday seeks a software engineer to contribute to a cloud ops platform that ingests, computes, and aggregates curated data sets for Workday applications. The role surfaces data for front-end components and AI/ML inference generation and agentic workflows.

Requires 3-6+ years in software engineering and distributed systems, with proficiency in Java, Scala, or Python, plus experience with cloud infra (AWS/GCP) and data tools like Spark, Iceberg, or Kubernetes.