Senior or Principal Software Development Engineer, Workday
MLOps
CA$151.2-226.8k
More information about location
Enterprise AI platform for managing HR and finance
Job no longer available
Enterprise AI platform for managing HR and finance
1001+ employees
Job no longer available
CA$151.2-226.8k
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 5-7 or more years of validated proven experience in DevOps or programming experience preferably in Python, Java or Scala with a Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
- Experience in managing relevant tools like Databricks and Sagemaker to perform efficient computation and management of large scale data lakes
- Experience in supporting your work in production
- Experience implementing and operating distributed systems
- Experience with data and/or ML systems with ability to think across layers of the stack
- Experience with Databricks, Sagemaker, & Apache Spark
- Experience in leading or mentoring other team members
What the job involves
- Partner and collaborate with multi-functional teams to deliver scalable, secure and reliable solutions
- Actively engage with data scientists, ML engineers, product managers and other architects across teams in requirements elaboration and drive technical solutions
- Own and develop features from end to end including infrastructure as code
- Design and build solutions for efficient organization, storage and retrieval of data to enable meaningful scale
- Build systems and dashboards to supervise service & ML health
- Lead in architecture reviews, code reviews and technology evaluation
- Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind
- Develop and maintain monitoring and alerting systems for proactively identifying and addressing issues within the AI/ML infrastructure
- Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning development and data engineering
- Keep abreast of industry trends and new technologies, providing recommendations for continuous improvement of our DevOps and machine learning practices
- Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes
- Optimize public cloud-based infrastructure (AWS, Azure, or GCP) to support the computational requirements of machine learning workloads
- Implement and coordinate CI/CD workflows to automate testing, integration, and delivery of ML components
- Ensure the security and compliance of ML platforms, implementing standard processes for encryption, data protection and access controls
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.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
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 HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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