Principal Software Engineer, Workday

CA$151.2-226.8k

Salary is applicable for Canadian candidates only. For US based candidate, the salary is as follows: $163,400 USD - $294,000 USD

AWS

Kubernetes

Python

Bash

Linux

Terraform

Jenkins

Ansible

Prometheus

Grafana

Git

Senior and Expert level

Denver

Toronto

Vancouver

More information about location

Office located in Boulder, CO

Enterprise AI platform for managing HR and finance

Job no longer available

Enterprise AI platform for managing HR and finance

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Job no longer available

CA$151.2-226.8k

Salary is applicable for Canadian candidates only. For US based candidate, the salary is as follows: $163,400 USD - $294,000 USD

AWS

Kubernetes

Python

Bash

Linux

Terraform

Jenkins

Ansible

Prometheus

Grafana

Git

Senior and Expert level

Denver

Toronto

Vancouver

More information about location

Office located in Boulder, CO

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

B.A./B.S. in Computer Science (Master’s degree or equivalent experience is a plus)
8+ years of full-time industry experience in software engineering, with exposure to machine learning platforms
5+ years of experience in Python, ideally using it to build services rather than for scripting
Demonstrated ability to use Bash/Linux command line
Consistent record in designing and deploying high-performance systems in production settings
Familiarity with MLOps processes and tools like Ray Serve and MLFlow or their comprable equivalent
Experience with AWS S3, and IAM roles
Knowledge of communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices
Experience in DevOps, including familiarity with Git, Kubernetes, and Jenkins
Experience in building and monitoring services with tools like Prometheus and Grafana
Previous experience with enterprise SaaS products
Expertise in secure network design and implementation
Availability for on-call support on a rotating basis
Proficiency in infrastructure automation tools like Terraform and Ansible, implementing CI/CD pipelines using Git and Jenkins, and continuous deployment tools such as ArgoCD
Self-motivated with a strong sense of ownership and capable of optimally prioritizing multiple tasks in a dynamic environment
Strong communication and social skills
You are naturally curious, always ready to challenge the conventional, and flourish by exploring and applying innovative techniques to address sophisticated issues
Your ability to lead initiatives and drive the team's charter is crucial

What the job involves

This role is integral to the development and enhancement of the Machine Learning Platform at Workday. You will be tasked with crafting and implementing full-spectrum products and features, including A/B testing, lifecycle management of models, and deployment of machine learning models to production
Your technical expertise will be pivotal in identifying opportunities and driving forward product development, emphasizing continuous enhancement, quality, scalability, and security
As a proactive problem-solver, you will apply your intellectual curiosity and innovative thinking to develop services that are scalable, secure, and user-centric
Your role will involve envisioning, designing, and developing products that enable machine learning engineers and generate substantial cost savings for the company
Design, implement, and maintain large-scale systems, facilitating the deployment of ML models into production environments
Gain a comprehensive understanding of the ML landscape at our company, identifying opportunities and leading team initiatives
Researching, evaluating, and prototyping new machine learning tools, focusing on reliability and scalability. Draft design documents to build consensus around new system components and enhancements
Collaborating with Architects, Machine Learning Engineers, and Engineering Managers to refine requirements and spearhead technical solutions
Troubleshoot, enhance, and scale continuous integration software pipelines
Cultivate relationships with software engineers, machine learning engineers, and data scientists across teams
Address alerts and debug production issues promptly
Review pull requests to ensure code consistency, performance, readability, and security
Create documentation to disseminate knowledge among engineering peers

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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