Senior Software Engineer, Workday

Data Platform and Agent Trust

CA$140-210k

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Terraform

Kibana

Jenkins

Spark

Prometheus

Grafana

Hive

Sagemaker

Senior and Expert level

Toronto

Vancouver

More information about location

Enterprise AI platform for managing HR and finance

Be an early applicant

Enterprise AI platform for managing HR and finance

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Be an early applicant

CA$140-210k

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Terraform

Kibana

Jenkins

Spark

Prometheus

Grafana

Hive

Sagemaker

Senior and Expert level

Toronto

Vancouver

More information about location

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.

Job

Company

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

Desirable

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

Our take

Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.

The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.

Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

16% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.1)

Company

Funding (last 2 of 5 rounds)

Oct 2011

$85m

SERIES F

Apr 2009

$75m

SERIES E

Total funding: $215.3m

Company HQ

Pleasanton, CA

Leadership

Aneel Bhusri

(Co-Founder & Executive Chair)

Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.

Carl Eschenbach

(CEO)

Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.

Peter Bailis

(CTO)

Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.

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