Principal Software Engineer
Job Summary
Your work days are brighter here.
Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.
About the Team
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 Workdays 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 Workdays 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.
About the Role
Architect Distributed Systems: Lead the design and implementation of high-throughput microservices and APIs (Python/Go) that serve as the backbone for Workdays ML ecosystem.
Engineer the Platform: Build and optimize a unified ML development experience using Kubeflow Kubernetes (EKS/GKE) and specialized compute orchestration (CPUs/GPUs).
Scale Cloud Infrastructure: Own the end-to-end lifecycle of cloud-based services utilizing Infrastructure as Code (Terraform) to build resilient self-healing environments.
Drive Engineering Excellence: Lead architecture reviews code reviews and technology evaluations to ensure our systems meet 99.99% reliability standards.
Support Agentic AI: Design the architectural patterns and observability frameworks required to support emerging Agentic AI systems and LLM-based applications.
Collaborate as a Technical Lead: Partner with data scientists ML engineers and architects to translate complex data needs into elegant maintainable software solutions.
Innovate & Prototype: Research and drive adoption of new infrastructure tools with a focus on reliability security and enterprise-grade scale.
About You
Basic Qualifications for Principal Software Engineer
6 or more years of validated industry experience.
Bachelors and/or Masters degree in Computer Science or Computer Engineering.
Strong software engineering experience with designing and building scalable distributed systems.
Deep understanding of cloud computing cloud infrastructure and distributed systems; experience with AWS and GCP.
Experience developing microservices APIs robust cloud service large-scale web applications managing CI/CD workflows.
Proficiency with Python Go and infrastructure-as-code tools like Terraform.
Experience running and maintaining Kubernetes clusters in production.
Ensure security and compliance of cloud platforms implementing best practices for encryption data protection and access control.
Other Qualifications
Experience with large-scale ML data pipelines and data lakes.
Ability to think across layers of the ML stack from infrastructure to model deployment.
Experience developing monitoring and alerting systems for ML infrastructure.
Understanding of agentic AI concepts; experience with LangChain and LangSmith is preferred.
Proven leadership or mentoring experience.
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.
Primary Location: Primary CAN Base Pay Range: $168000 - $252000 CADAdditional CAN Location(s) Base Pay Range: $168000 - $252000 CAD
Our Approach to Flexible Work
With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email .
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Required Experience:
Staff IC
About Company
Seamlessly manage your people, money, and agents on an open, unified platform with AI at the core. It’s a new work day.