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Sr Software Development Engineer

Job in Vancouver, BC, Canada
Listing for: Latinx in AI (LXAI)
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Software Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 140000 CAD Yearly CAD 140000.00 YEAR
Job Description & How to Apply Below
Your work days are brighter here.  We’re 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, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll 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. We’re 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 you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back.

In return, we’ll 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, you’ve found a match in Workday, and we hope to be a match for you too.

About The Team
Do you want to build AI-powered software that impacts millions of people every day? The AI Core team, part of Workday’s AI Platform organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems. Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications.

About

The Role
As a Senior Software Development Engineer on the AI Core team, you will be primarily responsible for designing, building, and operating the software systems that host, run, and scale AI-powered applications cifically, you will:

Work closely with machine learning engineers to write and maintain production‑grade backend services that power AI‑driven capabilities and agent applications

Design and implement APIs and service integrations that enable AI capabilities to be consumed across Workday products and platforms

Build and operate data ingestion and ETL pipelines that support AI application workflows

Apply distributed systems principles in production to address scalability, concurrency, fault tolerance, and performance challenges

Ensure systems meet enterprise requirements for security, privacy, robustness, and compliance

Own services through their full lifecycle, including deployment, monitoring, debugging, and ongoing operational improvements

About You
You are a strong technical leader with deep Python expertise and solid software engineering skills, capable of writing beautiful, well‑designed code while delivering solutions efficiently.

Basic Qualification

8+ years of professional software development experience, including architecting, building, and scaling secure, robust, and efficient software systems

5+ years of experience with Python development

Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience

Technical Skills

Understanding of object‑oriented design principles and ability to apply them in a Python context

Proficiency with advanced Python concepts, such as asynchronous and concurrent programming, generators, and higher‑order abstractions

Ability to write clean, testable, and well‑structured code, with high standards for clarity, aesthetics, and long‑term maintainability

Deep systems knowledge, including comfort operating in and debugging Unix/Linux environments, fluency with command‑line tooling, and understanding of practical networking fundamentals

Understanding of distributed systems concepts, including concurrency, fault tolerance, and performance tradeoffs

Ability to design and build well‑defined, stable APIs and service interfaces for consumption by other teams and systems

Proficiency with cloud and container platforms, including containerized workloads and orchestration systems (e.g., AWS or GCP, Docker, Kubernetes)

Leadership And Communication Skills

Ability to collaborate effectively across teams, working closely with other engineers while maintaining independent execution

Ownership mindset, able to take…
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