Software Development Engineer, Workday
Machine Learning
CA$106.4-159.6k
More information about location
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
CA$106.4-159.6k
More information about location
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- In addition to contributing to feature and service development, you must have an approach of continuous improvement and passion for quality, scale, and security
- You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved
- You also should have a product-focused 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
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math, or equivalent
- Strong proficiency in Python
- 3+ years of professional experience building scalable systems and optimizing performance of large-scale web services
- 2+ years of professional experience building ETL pipelines and data wrangling using industry-standard tools like Pandas, PySpark, and Sagemaker to build scalable data pipelines
- 2+ years of professional experience building horizontally scalable, RESTful web applications
- 2+ years of professional experience scaling services with containerization technologies like Kubernetes and Docker
- 2+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Takes ownership and delivers complete products, balancing craftsmanship with the need to ship to customers
- Professional experience in independently solving ambiguous, open-ended problems
- Standout colleague, strong communication skills, with experience working across functions and teams
- Ability to teach, mentor, and lead through influence (Not required for SDE )
- Professional experience in building information retrieval systems and/or recommendation systems
- Professional experience in machine learning and deep learning frameworks and toolkits such as Pytorch, TensorFlow, and Sklearn
- Professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
- Experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
What the job involves
- As a software engineer, you will work with machine learning 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
- Additionally, you will develop and deploy new APIs/microservices using docker/Kubernetes at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers
- Build, deploy, tune, and optimize Python and Spark-based ETL pipelines for collecting, joining, transforming, and loading data used for model training and inference
- Build, deploy, monitor, and maintain secure, RESTful web services in Python and Kubernetes that power our agents and recommendations
- Design and implement multi-tenant runtime architectures that enable fast inference, scale to millions of users, and integrate with existing Workday components
- Understand and address complex system design challenges related to microservices, including caching, sharding, observability, and event-based architecture
- Collaborate with other platform teams to improve shared infrastructure and components
- Triage and address alerts and production issues as part of an on-call rotation
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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