Sr. Software Development Engineer Principal, Software Development Engineer

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

The AI Model Serving team is the engine behind every production Workday agent and machine learning use case. We own the services that power all production AI workloads serving as the gateway to vendor-hosted LLMs on GCP and AWS Bedrock and operating the model deployment platform where Workday hosts and scales its models.

We host thousands of traditional ML models across sharded Ray Serve clusters. Our platform handles approximately 2000 requests per second and peaks at greater than 10000 requests per second in our largest cluster. We also provide a uniform interface for accessing models on Bedrock and Gemini and the production model registry for Workday.

In the year ahead we are focused on making our uniform vendor interface more robust scaling our architecture to support more than 20 agents going into production improving cost governance exploring hosting open-source LLMs in our stack evaluating a potential rewrite of the service in a different language for performance gains and keeping pace with the rapidly evolving AI landscape.

Our culture is one of focus camaraderie and high performance. We are a friendly and dedicated group that takes pride in building and operating one of the most heavily used services at Workday. If you are energized by working on infrastructure that sits at the heart of Workdays AI strategy this is the team for you.

About the Role

As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team you will be a technical leader who helps shape the vision and direction of the platform alongside the engineering manager. You will play a central role in making critical design decisions driving outcomes across the team and setting a positive and inclusive team addition to the model serving platform the team also owns the production model registry at Workday and you will help guide its evolution and ensure it meets the needs of ML teams across the organization.

Your work will directly impact Workdays ability to serve AI at scale from traditional ML models to the latest large language models powering Workdays agents.

Key Responsibilities:

• Lead the team technically by making critical design decisions that drive performance reliability and scalability across the platform.

• Design implement and maintain large-scale systems that enable moving ML models to production.

• Write design documents to build consensus for new system components and enhancements to existing components.

• Evaluate and uptake new technologies made available within Workday and across the broader industry.

• Troubleshoot improve and scale continuous integration software pipelines.

• Develop relationships with software engineers machine learning engineers and data scientists on partner teams.

• Respond to alerts and debug production issues to maintain platform health and reliability.

• Review pull requests and enforce consistency performance readability and security across code bases.

• Develop documentation to share knowledge with other engineers.

About You

(P5) Principal SDE Basic Qualifications

• 10 years of related work experience in software development with a focus on building and operating large-scale distributed systems.

• Bachelors degree in Computer Science Engineering or a related technical field (or equivalent practical experience).

Other Qualifications

• Software Development and Distributed Systems: Deep experience designing building and scaling production-grade distributed systems. You understand the full software development lifecycle from coding standards and testing to code reviews source control management and deployment and you can apply that knowledge to complex high-throughput platforms.

• Python: Deep proficiency in Python with extensive experience writing production-level code and building systems in Python-based frameworks.

• LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models including how they are served scaled and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.

• You can design and maintain monitoring strategies that provide clear insight into system health performance and cost.

• Excellent written and verbal communication skills including the ability to write clear design documents articulate complex technical ideas and build consensus across teams.

• A collaborative approach to engineering with experience mentoring other engineers and fostering an inclusive team environment.

• Help set the product vision for the AI Model Serving platform in partnership with the engineering manager bringing a product-oriented mindset to infrastructure decisions.

(P4) Sr. SDE Basic Qualifications

• 6 years of related work experience in software development with a focus on building and operating large-scale distributed systems.

• Bachelors degree in Computer Science Engineering or a related technical field (or equivalent practical experience).

Other Qualifications

• Software Development and Distributed Systems: Deep experience designing building and scaling production-grade distributed systems. You understand the full software development lifecycle from coding standards and testing to code reviews source control management and deployment and you can apply that knowledge to complex high-throughput platforms.

• Python: Deep proficiency in Python with extensive experience writing production-level code and building systems in Python-based frameworks.

• LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models including how they are served scaled and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.

• You can design and maintain monitoring strategies that provide clear insight into system health performance and cost.

• Excellent written and verbal communication skills including the ability to write clear design documents articulate complex technical ideas and build consensus across teams.

• A collaborative approach to engineering with experience mentoring other engineers and fostering an inclusive team environment.

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Workday Pay Transparency Statement

T he 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 CAD

Additional 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.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process in order to perform one or more essential functions of their job as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran due to a disability or for religious reasons or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy requesting one or more work accommodations exercising a privacy right or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action up to and including termination of employment to the fullest extent allowable under applicable law.

If you require a reasonable accommodation you may email as far in advance as possible.

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Required Experience:

Senior IC