W
Workday
Senior Software Engineer/Software Engineer (Data Hub)
Skills
Google Cloud PlatformData EngineeringDockerJenkinsGrafanaAIAWSPrometheusKubernetesWorkdayTerraform
2 months ago
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Important information
Contract type:
Permanent
Location:
Canada
Work mode:
Onsite
Published on:
8 August 2026
What they need
- 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- 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 in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform)
- Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Kubernetes, Terraform AWS Cloud Infrastructure
- 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
- Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
- An understanding and experience with topics related to performance and scale, security, availability, deployment and operations
- BSc or MSc in Computer Science/Computer Engineering or equivalent experience
- A testing/quality approach - unit, system/integration and end-to-end testing, TDD, feature toggles, and canary deployments
- Experience utilizing AI-Code Generation tools such as ClaudeCode, Windsurf, Cursor etc
- Experience being responsible for a service in production with experience of production triage and on-call
- Exposure to operating system concepts covering memory and storage, threading and concurrency, networking and sockets, and process management
- Experience creating scalable service endpoints to retrieve data
- 3-6+ years of experience in Software Engineering, Distributed Systems or a related field
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