Senior Devops Engineer, Workday
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
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
- 7+ years of DevOps experience including Infrastructure automation, building CICD pipelines
- Proficient in Python programming
- Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment
- Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products
- Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes
- Senior - Basic qualifications
- Good in System design and writing comprehensive technical design docs
- Other Qualifications:
- Machine learning background
- Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices
- Building comprehensive monitoring services
- Prior experience with enterprise SaaS products
- Experience with monitoring tools like Grafana
- Passion for creating and maintaining documentation and troubleshooting run books
- Availability for on-call support on a rotating basis
- Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD
- BS/MS in Computer Science or a related technical field
- Excellent problem-solving skills with a focus on creating and maintaining accurate documentation
- Strong teamwork and communication skills, along with the ability to effectively prioritize multiple tasks in a fast-paced environment
What the job involves
- The Workday ML Runtime team is seeking an energetic and determined Software Engineer to design, implement, and deliver highly scalable features for our Machine Learning Runtime platform
- As a member of this fast paced group you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday Machine Learning features in production
- You will partner with Data Scientists, ML Engineers, and other Software Engineers to create the technology that brings these features to life
- Developing frameworks, automation, and tooling to foster a culture of efficiency and innovation
- Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative ML Runtime Inference applications
- Developing products and services that empower developers to streamline their interactions with the ML platform
- Working with public clouds (such as IAAS, AWS, GCP) and applying capacity management principles
- Deploying and orchestrating containers in production environments, including technologies like Containers, Kubernetes, Service Mesh, ArgoCD and related tools
- Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions
- Own and develop features from end to end including infrastructure as code
- Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind
- Strong dedication to proactively addressing and resolving issues, automating processes, and empowering engineers to self-service their operational needs for improved productivity
- Availability for on-call support on a rotational basis
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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