Senior Software Engineer
About the role
Who you are
- 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)
- Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
- Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Kubernetes, Terraform AWS Cloud Infrastructure
- 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, networking and sockets, and process management
- An understanding and experience with topics related to performance and scale, security, availability, deployment and operations
- Experience being responsible for a service in production with experience of production triage and on-call
What the job involves
- 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
Not the right fit? Search for Software Engineer jobs in Toronto, Vancouver
About Workday
Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries – from medium-sized businesses to more than 50% of the Fortune 500.
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Senior Software Engineer
About the role
Who you are
- 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)
- Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
- Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Kubernetes, Terraform AWS Cloud Infrastructure
- 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, networking and sockets, and process management
- An understanding and experience with topics related to performance and scale, security, availability, deployment and operations
- Experience being responsible for a service in production with experience of production triage and on-call
What the job involves
- 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
Not the right fit? Search for Software Engineer jobs in Toronto, Vancouver
About Workday
Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries – from medium-sized businesses to more than 50% of the Fortune 500.