Software Development Engineer III / Senior Software Development Engineer - Full Stack
Join to apply for the Software Development Engineer III / Senior Software Development Engineer - Full Stack role at Workday.
Join the Workday AI organization
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
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross‑functional AI teams that bring together product leaders, machine learning engineers, and full‑stack builders to create intelligent agents used by millions of people every day. This is production‑grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.
About the Role
As a Full Stack Software Engineer in Agent Factory, you’ll help build the user‑facing and platform experiences that bring Workday’s AI agents to life. Working within a small, cross‑functional pod, you’ll design and ship full stack solutions—from intuitive front‑end experiences to resilient back‑end services that integrate AI‑driven capabilities deeply into HR and Finance workflows. This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world. You’ll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production. If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you’ll feel right at home here.
Responsibilities
Build and deliver full stack features that power AI agents embedded in HR and Financial workflows
Own services and experiences from development through production—you build it, you run it
Collaborate in an iterative, team‑first environment that values strong engineering practices and continuous learning
Share knowledge, mentor teammates, and help raise the technical bar across the pod
Qualifications
Senior Software Development Engineer - Basic Qualifications
8+ years of experience in software engineering
5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
5+ years with a Relational DB (PostgreSQL preferred)
Software Development Engineer III - Basic Qualifications
5+ years of experience in software engineering
2+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
2+ years of experience with React and Typescript for Front End / Full stack development
2+ years with a Relational DB (PostgreSQL preferred)
Other Qualifications
Bachelor's degree in a computer related field or equivalent work experience
Experience building and operating SaaS products in cloud environments (AWS preferred)
Familiarity with the tradeoffs and architecture of modern distributed systems
Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
Hands‑on experience with containerization technologies (Docker, Kubernetes)
Familiarity with Elasticsearch
Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus
Proven success working within fast‑paced, agile environments and cross‑functional teams
Strong communication skills, with the ability to collaborate with both technical and non‑technical partners
Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
Committed to fostering an inclusive, team‑oriented environment and contributing to a culture of continuous improvement
Workday Pay Transparency Statement
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 candidate’s 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 Workday’s comprehensive benefits, please click here.
Primary Location
CAN.ON.Toronto
Primary Base Pay Range
$132,800 CAD - $199,200 CAD
Our Approach to Flexible Work
With Flex Work, we’re 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 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. 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.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
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.
#J-18808-Ljbffr
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
In 2024, Workday launched an Enterprise Data and Analytics team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data‑led innovation across the enterprise. The team has introduced a new, cloud‑based technical stack, a Data Product methodology anchored in the principles of DataOps, an active Data Governance methodology to manage the quality and discovery of data, and a series of modern analytics tools that facilitate discovery, analysis, visualization, machine learning, and AI. The team’s goal is to lead high‑value multi‑functional data and analytics work and to establish and support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units.
About The Role
We are seeking a highly skilled DataOps Engineer to help optimize our data cloud‑based platform by implementing CI/CD automation that drives technical and business processes. This includes coordinating with IT and Analytics Engineering, implementing the CI/CD for data workflows, and helping to establish critical integrations between platforms to power those CI/CD workflows. The ideal candidate will have a strong understanding of DataOps/DevOps principles, experience on teams that manage data as a product and leverage modern DataOps tools, and a passion for automation and efficiency. This role will be instrumental in building and scaling our data platform to support data‑driven decision‑making across the organization.
Job Responsibilities
Implement and maintain DataOps CI/CD pipelines for rapid, reliable infrastructure and data product deployment, encompassing automated environment provisioning and management, testing, and linting stages.
Implement and optimize monitoring and alerting systems, especially in CI/CD pipelines, to proactively identify and resolve issues.
Configure ED&A’s data platform with industry best practices, robust security standards, & data governance.
Collaborate across the organization, including with IT and Analytics Engineering.
Implement test‑driven development principles in CI/CD pipelines specialized to the data space.
Implement DataOps CI/CD best practices in CI/CD pipelines via integration with ED&A’s data tech stack (Snowflake, dbt, Atlan, Acceldata, Airflow, and GitHub).
Measure adoption and look for continuous improvement opportunities related to technology, process, and skills.
Drive and, to the extent possible, automate the creation of detailed documentation for implemented CI/CD pipelines and operating procedures.
Implement automation and performance optimization to enhance ED&A data platform capabilities.
Continuously tune developed solutions for optimal performance.
About You
Basic Qualifications
4+ years of hands‑on experience implementing and managing cloud‑native data platforms and solutions (2+ years with Masters Degree)
4+ years of practical understanding and application of DataOps (DevOps for data) principles and methodologies.
4+ years of hands‑on experience implementing and maintaining robust CI/CD pipelines for data platforms and products.
Proficient in deployment strategies, environment management, and testing best practices for data products, with a focus on automation and quality.
Experience with core data platforms and orchestration tools, such as Snowflake, dbt, Airflow, & FiveTran, for the purpose of integrating these tools into CI/CD pipeline automations.
Familiarity with data modeling, ETL/ELT processes, and data warehousing best practices.
Technical problem‑solving skills at the implementation level, including debugging failed tests and CICD pipeline issues.
Passion for automation and a track record of implementing solutions to improve efficiency and reduce manual effort.
Experience working with agile methodologies and their application to the implementation of DataOps/DevOps tasks.
Other Qualifications
Excellent communication and social skills, with the ability to collaborate effectively with technical and non‑technical team members.
Familiarity with data cataloging, data lineage, and data quality solutions (e.g., Atlan, Acceldata) is a plus.
Familiarity of data security best practices and ability to implement security measures, including security testing within pipelines.
Open to 50% reporting to our Toronto office.
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 candidate’s 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 Workday’s comprehensive benefits, please click here.
Primary Location: CAN.ON.Toronto
Primary CAN Base Pay Range: $95,200 - $142,800 CAD
Additional CAN Location(s) Base Pay Range: $95,200 - $142,800 CAD
Our Approach to Flexible Work
With Flex Work, we’re 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 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. 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 accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
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.
#J-18808-Ljbffr
A leading AI platform company is looking for a Machine Learning Engineer in Canada. This role involves developing tailored user experiences utilizing advanced machine learning technologies and collaborating with engineers to deliver solutions across the product ecosystem. The ideal candidate will have extensive experience in machine learning, including knowledge of frameworks like PyTorch and TensorFlow. Workdays offer a flexible working schedule that balances in-office and remote work. #J-18808-Ljbffr
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 Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday. Specifically, you will:
Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.
Execute data analysis, error analysis, and rigorous experimentation to drive model improvements and new capability development.
Design and implement the end-to-end machine learning pipeline (MLOps), ensuring model scalability, reliability, and consumption via robust APIs.
Work with large-scale datasets to perform data wrangling, feature engineering, and validation to train and fine-tune state-of-the-art models.
Apply machine learning and distributed systems principles in production to address model scalability, concurrency, fault tolerance, and performance challenges.
Own ML models and systems through their full lifecycle, including deployment, monitoring, debugging, and ongoing operational improvements.
About You
You are a strong technical leader with deep expertise in machine learning, agentic systems, and Python, capable of writing production-grade code while delivering solutions efficiently.
Basic Qualification:
8+ years of professional Machine Learning / AI engineering experience, including designing, building, and scaling production ML models and systems.
5+ years of experience with advanced Python development.
Bachelor’s degree in Computer Science, Machine Learning, or related discipline, or equivalent practical experience.
Technical Skills:
Expertise in designing, training, and evaluating Machine Learning models (e.g., LLMs, deep learning models, classical ML) and deploying them to production environments.
Expertise with building agentic systems and leveraging LLMs, retrieval-augmented generation (RAG), and sophisticated prompting techniques.
Proficiency with popular Machine Learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and MLOps tools.
Strong understanding of data wrangling, feature engineering, and data validation techniques for large-scale datasets.
Proficiency with advanced Python concepts, such as asynchronous and concurrent programming, generators, higher-order abstractions, and applying object-oriented design principles.
Proficiency with unix systems and cloud 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 responsibility for a work area and deliver high-quality, reliable systems.
Ability to mentor and coach other engineers, promoting best practices and raising the engineering bar.
Architectural thinking skills, with the ability to contribute meaningful ideas and practical solutions in design and architecture discussions.
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
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 candidate’s 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 Workday’s comprehensive benefits, please click here.
Primary Location: CAN.ON.Toronto
Primary CAN Base Pay Range: $156,000 - $234,000 CAD
Additional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD
Our Approach to Flexible Work
With Flex Work, we’re 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 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. 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 accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
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.
,
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A leading software company in Vancouver seeks a Fullstack Software Engineer to enhance its AI-driven contract management platform. You will collaborate with a multi-functional team to build scalable, user-centric solutions that transform contract management for global organizations. This role requires 8+ years of software engineering experience, including 5+ years with web development frameworks, and a passion for mentorship and team success. Competitive salary and flexible work arrangements offered. #J-18808-Ljbffr
A leading technology company is seeking a Software Development Engineer III / Senior Software Development Engineer - Full Stack to join their AI organization in Canada. In this role, you will work on building user-facing and platform experiences for AI agents. The ideal candidate has extensive experience in software engineering, particularly with Python frameworks and relational databases. You will collaborate closely with cross-functional teams, delivering impactful features in a culture of innovation and continuous improvement. #J-18808-Ljbffr
Overview
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\u2019re 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
Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday’s CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks. We build AI first products, and automate manual work, freeing up our customers time and accelerating their businesses.
You will be joining the Evisort AI team, which functions as a startup within Workday. This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workday’s incredible customer base of 70M+ users.
About The Role
As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models. You will develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers. In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don\u2019t make sense to you or could be improved. You also should have a product approach and strong intuition around how ML can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role.
About You
Basic Qualifications
5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as PyTorch, TensorFlow
2+ years of professional experience in building services to host machine learning models in production at scale
2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Sr. MLE
6+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as PyTorch, TensorFlow
3+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
3+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Other Qualifications
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.
Workday Pay Transparency Statement
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 candidate’s 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 Workday’s comprehensive benefits, please click here.
Primary Location: CAN.BC.Vancouver
Primary Location Base Pay Range: $128,000 CAD - $192,000 CAD
Primary CAN Base Pay Range: $128,000 - $192,000 CAD
Our Approach to Flexible Work
With Flex Work, we’re 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 you\u2019ll 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 accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
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.
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Be at the forefront of technology as a Full Stack Engineer driving AI initiatives. Collaborate with talented engineers to deliver powerful solutions that enhance operational efficiency in HR and Finance.
In this challenging role, you will leverage your extensive experience to build and enhance AI agents that revolutionize business processes. Your engagement in knowledge sharing will promote a culture of continuous improvement and support team growth. You are encouraged to take ownership of projects and lead them from concept through execution.
Key Responsibilities:
• Partner with engineers to design AI-driven solutions
• Engage in a supportive team atmosphere
• Mentor colleagues through knowledge exchange
• Manage development and operational responsibilities
Requirements:
• 5+ years of software engineering
• 3+ years experienced in web frameworks, specifically Python
• 2+ years with React and Typescript
• Bachelor’s degree or equivalent work experience
• Proficiency with cloud platform services like AWS
Drive change by crafting AI solutions that empower organizations and facilitate growth within an innovative team.
#J-18808-Ljbffr
A leading software company in Metro Vancouver is seeking a Full Stack Software Engineer to build and deliver innovative AI solutions. The role involves designing user-facing and platform experiences, collaborating within a cross-functional team, and owning product features from development to production. Ideal candidates will have extensive experience in software engineering, web development frameworks, and databases, along with strong communication skills. Join us to create impactful products that simplify complex business processes. #J-18808-Ljbffr
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
Join the Workday AI organization, where you’ll be building and supporting powerful AI capabilities that power Workday’s product suite. You’ll be working with a multi‑functional team that ships frequently, iterates rapidly, and is supporting millions of users of Workday’s products.
About The Role
Evisort Engineering is growing! As a Fullstack Software Engineer, you’ll join a collaborative, multi‑functional team working to enhance and expand our AI‑driven contract management platform. You’ll work closely with engineers, product managers, data scientists, and designers to help deliver scalable, user‑centric solutions that transform how legal and business teams manage their contracts.
Your technical contributions and team‑first attitude will play a key role in delivering high‑impact products that scale our AI capabilities and help global organizations simplify complex business processes.
Responsibilities
Collaborate with engineering, data science, product, and development teams to build and evolve our vision, strategy, and roadmap.
Participate in an encouraging, iterative team culture that values curiosity, learning, and strong engineering practices.
Contribute to the growth and success of your teammates through knowledge sharing and mentorship.
Take ownership of multiple functional areas in our platform — from development to production (“you build it, you run it”).
About You
Basic Qualifications:
8+ years of experience in software engineering.
5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI).
5+ years with a Relational DB (PostgreSQL preferred).
Other Qualifications:
Experience building and operating SaaS products in cloud environments (AWS preferred).
Familiarity with the tradeoffs and architecture of modern distributed systems.
Knowledge of software development standards (DevOps, CI/CD, automated testing, observability).
Hands‑on experience with containerization technologies (Docker, Kubernetes).
Familiarity with Elasticsearch.
Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus.
Proven success working within fast‑paced, agile environments and multi‑functional teams.
Strong communication skills, with the ability to collaborate with both technical and non‑technical partners.
Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions.
Committed to fostering an inclusive, team‑oriented environment and contributing to a culture of continuous improvement.
Workday Pay Transparency Statement
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 candidate’s 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 Workday’s comprehensive benefits, please click here.
Primary Location: CAN.BC.Vancouver
Primary Location Base Pay Range: $140,000 CAD – $210,000 CAD
Primary CAN Base Pay Range: $140,000 – $210,000 CAD
Our Approach to Flexible Work
With Flex Work, we’re 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 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. 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 accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for your data in connection with a job posting that appears to be from Workday but is not.
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.
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