Senior Software Engineer (Data Platform and Agent Trust)

Company: Workday

Location: Canada, ON, Toronto, Canada {{REMOTE}}

Type: Full-time

Posted: 2026-06-16

About this role

  • Datahub is an AI/MLOps centered Data engineering team and our goal is to ingest, compute, and surface data driving key Workday applications across the company
  • In this role, you will contribute to a cloud ops platform that enables ingestion of data from internal and external producers, computes and aggregate meaningful, curated data sets, the surfaces these sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation and agentic workflows
  • We utilize technologies like Kubernetes, Spark, Python, Java, XO, Terraform, Kubernetes, Iceberg, EMR, and Sagemaker- 6+ years of experience in Software Engineering, Distributed Systems or a related field
  • 3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
  • 3+ years in cloud engineering or related field(s)
  • Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Kubernetes, Terraform AWS Cloud Infrastructure
  • Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
  • BSc or MSc in Computer Science/Computer Engineering or equivalent experience
  • Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform)
  • Experience utilizing AI-Code Generation tools such as ClaudeCode, Windsurf, Cursor etc
  • Experience creating scalable service endpoints to retrieve data
  • Track record of working with logging, monitoring, metrics, stats technologies, such as: Grafana, Prometheus, Kibana, Hive, etc
  • Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology
  • A testing/quality approach - unit, system/integration and end-to-end testing, TDD, feature toggles, and canary deployments
  • Exposure to operating system concepts covering memory and storage, threading and concurrency, networkin...

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