Intermediate or Senior MLOps Engineer, Workday
US Federal
$128.8-193.2k
More information about location
Enterprise management cloud platform
Open for applications
Enterprise management cloud platform
1001+ employees
Open for applications
$128.8-193.2k
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
- Basic Qualifications for Software Engineer:
- 5 or more years of proven industry experience
- Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering
- Design, implement, and maintain robust MLOps services for deploying, monitoring, and scaling machine learning development and data engineering primarily with Kubeflow
- Stay abreast of industry trends and emerging technologies, providing recommendations for continuous improvement of our DevOps and machine learning practices
- Troubleshoot and resolve performance bottlenecks, system outages, and other operational issues in collaboration with the ML engineering teams
- Optimize public cloud-based infrastructure (AWS, GCP) to support the computational requirements of machine learning workloads
- Implement and manage CI/CD workflows to automate testing, integration, and delivery of machine learning components
- Ensure the security and compliance of machine learning platforms, implementing best practices for encryption, data protection and access controls
- Professional experience in building web applications and microservices and API design
- Experience in supporting large Kubernetes networks in production
- 5 or more years of cloud programming experience preferably in Python or Go
- Experience with running and maintaining Databricks, Sagemaker, & Apache Spark as a service
- Basic Qualifications for Senior Software Engineer:
- 8 or more years of validated industry experience
- 6 or more years of cloud programming experience preferably in Python or Go
- Other Qualifications:
- Implementation and operation of distributed systems and software development including the conception, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components
- Experience in managing relevant tools like Databricks and Sagemaker to perform efficient computation and management of large scale data lakes
- Experience of data and/or ML systems with ability to think across layers of the stack
- Develop and maintain monitoring and alerting systems for proactively identifying and addressing issues within the machine learning infrastructure
- Experience in leading or mentoring other team members and proven team collaboration experience, i.e. understanding group dynamics, effective communication strategies, conflict resolution techniques, and the ability to foster a positive and inclusive team environment
What the job involves
- This is an opportunity to be part of a growth team focused on MLOps
- We build ML capabilities into our products, and you would be building part of the next generation of Workday technology
- We believe predictive products can be as ground-breaking to the next generation of technology as mobile was to the last
- As a Software Engineer you will help develop ML powered features and experiences for every user across our HR & Talent product portfolio
- You will work closely with ML engineers and other software teams to deliver critically important infrastructure and software frameworks that enable machine learning across Workday’s product ecosystem
- You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical
- You will be responsible for the design & development of new APIs/microservices and deploy them using Python, Terraform and Kubernetes at scale
- You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our end-users experience WD
- We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people
- Work with multi-functional teams to deliver scalable, secure and reliable solutions
- Building MLOps platform primarily using Kubeflow, and other ML ecosystem tools and services for a unified ML Development experience
- Successfully communicate with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions
- Own and develop cloud based services from end to end including infrastructure as code
- Design and build software solutions for efficient organization, storage and retrieval of data to enable substantial scale
- Understanding cloud computing and security to build robust cloud infrastructure and solutions for ML teams
- Build systems and dashboards to monitor 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
Application process
- Time left to apply: End Date: May 30, 2025
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
- 401k plan
- On-site health clinic (Pleasanton office)
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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