Software Development Engineer, Workday
Machine Learning
CA$106.4-159.6k
More information about location
Enterprise AI platform for managing HR and finance
Job no longer available
Enterprise AI platform for managing HR and finance
1001+ employees
Job no longer available
CA$106.4-159.6k
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 5 or more years of proven industry experience with a Bachelor's Degree in Computer Science or related technical field, 3 or more years with a Masters or equivalent
- 3 or more years of experience with production-level Software Development including the conception, specifying, crafting, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components
- 3 or more years of experience using programming languages (such as Python, Java, or similar) to deliver Production quality software solutions in an industry setting
- Experience with Machine Learning technologies, frameworks and methods
- 2 or more years of experience building Production quality software with public cloud technologies (e.g., AWS, GCP, Azure) and Infrastructure as Code (e.g., AWS CloudFormation)
- 3 or more years of experience maintaining and supporting Production software
- 2 or more years experience designing and implementing data pipelines to extract, transform, and load data from various sources enabling the training and deployment of machine learning models
- Resilience to obstacles, and ability to solve problems independently
- Active and influential contributor in the design of systems and services, accounting for stability, scalability, performance and observability as first-class considerations
- Provides thoughtful and productive code review feedback that is seen by teammates as a significant improvement
- Shown familiarity of agile methodologies
- Experience with JSON, Protobuf, Avro, or other data structures and integration technologies. Experience with Kafka and/or other streaming frameworks
- Strong understanding of scalable architecture and performance optimization for web applications
- Algorithmic Thinking and a proven track record of designing, implementing, and analyzing algorithms
- Proven experience applying Object Oriented Design principles such as encapsulation, inheritance, polymorphism, and abstraction to build flexible and reusable software components
- Experience developing Code Testing strategies with an emphasis on understanding various testing methodologies, such as unit testing, integration testing, functional testing, and regression testing, as well as the ability to use testing tools and frameworks
- Strong sense of ownership and delivery of finished products. A balance between craftsmanship and the need to ship products to customers
- Excellent communication and collaboration skills, with a strong focus on Team Collaboration and customer impact
- Experience designing and developing business applications (knowledge of Workday products a plus)
What the job involves
- This is an exciting opening in the Machine Learning team. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 37 million strong
- You will take on sophisticated problems and influence teams across Workday as you build enterprise software. Thrive in our fun, people-first culture that builds an environment focused on your success and ability to do your best work. Join us as we change and optimize the way millions of users work
- As a software development engineer, you will help develop tailored experiences for every user powered by advanced agentic AI, Large Language Models (LLMs), personalization, and predictive analysis
- You will work closely with other software development engineers and ML engineers to deliver solutions that enable personalized user experience across Workday’s product ecosystem
- You will apply current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised, and agentic AI powered by LLMs
- You will develop new APIs/microservices and deploy them at scale
- You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our customers make decisions and run their businesses
- We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of users
- Tackle sophisticated problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis
- Work closely with software development engineers, machine learning engineers, product managers, as well as other teams and organizations to take services and products from inception to production
- Take ownership for finding creative solutions that move projects, work-streams and products forward. Have determination to turn ideas into reality and improve user experience
- Write elegant code that exemplifies standard methodologies for automation, observability, testing, concurrency, and service interaction using design patterns, object orientation, and machine learning frameworks
- Work together with team mates on code reviews, knowledge share, hackathons, etc
- Apply machine learning techniques including agentic AI, LLMs, deep learning including generative models, natural language understanding, sentiment analysis, topic modeling, and named entity recognition to analyze large sets of data. Design, launch, monitor and optimize cloud based machine learning architectures
- Have opportunities for career growth and learning in a fast-growing, forward-looking company
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
16% employee growth in 12 months
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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