Principal Software Development Engineer, Workday
MLOps
CA$168-252k
More information about location
2-3 days a week in office
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$168-252k
More information about location
2-3 days a week in office
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 6 or more years of validated industry experience
- Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering
- Strong software engineering experience with designing and building scalable AI/ML platforms
- Proficiency with Python, Go, and infrastructure-as-code tools like Terraform
- Design, implement, and maintain robust MLOps services for deploying, monitoring, and scaling ML and data engineering pipelines, primarily with Kubeflow
- Deep understanding of cloud computing, cloud infrastructure, and distributed systems; experience with AWS and GCP
- Experience developing microservices, APIs, and large-scale web applications
- Experience running and maintaining Kubernetes clusters in production
- Understanding of agentic AI concepts; experience with LangChain and LangSmith is preferred
- Stay abreast of industry trends and emerging technologies, providing recommendations for continuous improvement of DevOps and machine learning practices
- Troubleshoot and resolve performance bottlenecks, system outages, and operational issues collaboratively with ML teams
- Implement and manage CI/CD workflows to automate testing, integration, and delivery of ML components
- Ensure security and compliance of AI platforms, implementing best practices for encryption, data protection, and access control
- Implementation and operation of distributed systems
- Experience with large-scale ML data pipelines and data lakes; familiarity with Databricks, Sagemaker, or Spark as a service
- Ability to think across layers of the ML stack, from infrastructure to model deployment
- Experience developing monitoring and alerting systems for ML infrastructure
- Proven leadership or mentoring experience
What the job involves
- This is an opportunity to be part of a growth team focused on MLOps. We build ML capabilities into our products, and you would be building part of the next generation of Workday technology. We believe predictive products can be as ground-breaking to the next generation of technology as mobile was to the last
- As a Principal Software Engineer you will help develop ML-powered features and experiences for every user across our HR & Talent product portfolio. You will work closely with ML engineers and other software teams to deliver critically important infrastructure and software frameworks that enable machine learning across Workday’s product ecosystem
- You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical. You will be responsible for the design & development of new APIs/microservices and deploy them using Python, Go, Terraform, and Kubernetes at scale
- You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our end-users experience WD. 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 people
- Work with multi-functional teams to deliver scalable, secure, and reliable solutions
- Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience
- Proficiency with Python, Go, and infrastructure-as-code tools like Terraform
- Effectively engage with data scientists, ML engineers, PMs, and architects in requirements elaboration and drive technical solutions
- Own and develop cloud-based services end-to-end, including infrastructure as code
- Design and build software solutions for efficient organization, storage, and retrieval of data to enable substantial scale
- Apply cloud engineering and security best practices to build robust, scalable ML infrastructure
- Build systems and dashboards to monitor service & ML health
- Lead in architecture reviews, code reviews, and technology evaluation
- Research, evaluate, prototype, and drive adoption of new ML tools with reliability and scale in mind
- Understand agentic AI systems; familiarity with LangChain and LangSmith is preferred
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 108 more jobs at Workday