Workday

Workday

Sr. Software Development Engineer / Principal, Software Development Engineer

Canada, BC, Vancouver · Principal

Sponsorship not specified$168k-$252kDetected 3 days ago
PythonDistributed SystemsCode ReviewAWSGCPCI/CDMachine LearningLLMsProduct StrategyHRISCommunicationMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 66 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Workday, Inc. obtained a prevailing wage determination for Software Developers in Boulder, COLORADO on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 7 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 98%

Of 58 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

49 transfer filings in the last year, covering 49 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.
  • The AI Model Serving team is the engine behind every production Workday agent and machine learning use case.

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.
  • Develop documentation to share knowledge with other engineers.
  • 10+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
  • Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams.
  • 6+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.

Requirements

  • (P5) Principal SDE Basic Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
  • Python: Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
  • SDE Basic Qualifications
  • Your work will directly impact Workday's ability to serve AI at scale - from traditional ML models to the latest large language models powering Workday's agents.
  • 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).
  • 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.

Skills

  • Your work days are brighter here.

Compensation

  • $168,000 - $252,000 CAD
  • In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Benefits

  • 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.
  • Our Approach to Flexible Work
  • This means you'll 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.
  • You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost.
  • 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.
  • Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Company info

  • 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 2,000 requests per second and peaks at greater than 10,000 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 Workday's AI strategy, this is the team for you.

Equal opportunity

  • Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
  • If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
  • 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.
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This listing is sourced directly from Workday's careers page and normalized into a canonical job model.