Senior Software Engineer - Data Platform and Agent Trust

Workday•Vancouver, BC

5d•Hybrid

About The Position

Workday is seeking a Senior Software Engineer to join the Datahub team, an AI/MLOps centered Data engineering team focused on ingesting, computing, and surfacing data for key Workday applications. In this role, you will contribute to a cloud ops platform that enables data ingestion from internal and external producers, computes and aggregates meaningful, curated data sets, and surfaces these sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation and agentic workflows. The team utilizes technologies such as Kubernetes, Spark, Python, Java, XO, Terraform, Kubernetes, Iceberg, EMR, and Sagemaker.

Requirements

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 experience.

Nice To Haves

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.

Responsibilities

Contribute to a cloud ops platform that enables ingestion of data from internal and external producers.
Compute and aggregate meaningful, curated data sets.
Surface these data sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation and agentic workflows.
Deliver a service from writing code to deploying in production.
Collaborate with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology.
Implement a testing/quality approach including unit, system/integration and end-to-end testing, TDD, feature toggles, and canary deployments.
Be responsible for a service in production with experience of production triage and on-call.