Senior Software Development Engineer-MLOps-JR-0095725
- OREGON EMPLOYMENT DEPARTMENT
- Beaverton, Oregon
- Full Time
Job Listing ID: 4283248 Job Title: Senior Software Development Engineer-MLOps-JR-0095725
Application Deadline: 07/02/2025Job Location: Beaverton
Date Posted: 06/02/2025Hours Worked Per Week: 40
Shift: Day Shift
Duration of Job: Full Time, more than 6 months
You may contact this employer directly.
(Obtain the contact information to print or add to your jobs.)
Job Summary: As a Senior 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.
In this role, you would:
Work with multi-functional teams to deliver scalable, secure and reliable solutions
Building MLOps platform primarily using Kubeflow, and other ML ecosystem framework and services for building a unified ML Development experience
Effectively engage 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
About You
Basic Qualifications
Solid experience as a Software Development Engineer in ML domain- 5+ years' experience with a Master's or higher or 6+ years with a Bachelor's in Computer Science or Computer Engineering or equivalent
4 year's experience designing, implementing, and maintaining robust MLOps services for deploying, monitoring, and scaling machine learning development primarily using Kubeflow or similar platforms
Professional experience in building web applications and microservices and API design
Solid understanding on how to implement and manage CI/CD workflows to automate testing, integration, and delivery of machine learning components
Experience in supporting large Kubernetes networks in production
6 or more years of cloud programming experience preferably in Python or Go
Experience with running and maintaining ML platforms such as: Databricks, Sagemaker, and or VertexAI
Other Qualifications
Implementation and operation of distributed systems
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 collabora
Job Classification: Software Developers
Access our statewide or regional occupation report for more information about wages,
employment outlooks, skills, training programs, related occupations, and more.
Compensation
Salary: $145,900.00 per Year Depending on Experience, Depending on Qualifications
Job Requirements
Experience Required: At least 5 years
Education Required: BachelorsMinimum Age: N/A
Gender: N/A
Application Deadline: 07/02/2025Job Location: Beaverton
Date Posted: 06/02/2025Hours Worked Per Week: 40
Shift: Day Shift
Duration of Job: Full Time, more than 6 months
You may contact this employer directly.
(Obtain the contact information to print or add to your jobs.)
Job Summary: As a Senior 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.
In this role, you would:
Work with multi-functional teams to deliver scalable, secure and reliable solutions
Building MLOps platform primarily using Kubeflow, and other ML ecosystem framework and services for building a unified ML Development experience
Effectively engage 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
About You
Basic Qualifications
Solid experience as a Software Development Engineer in ML domain- 5+ years' experience with a Master's or higher or 6+ years with a Bachelor's in Computer Science or Computer Engineering or equivalent
4 year's experience designing, implementing, and maintaining robust MLOps services for deploying, monitoring, and scaling machine learning development primarily using Kubeflow or similar platforms
Professional experience in building web applications and microservices and API design
Solid understanding on how to implement and manage CI/CD workflows to automate testing, integration, and delivery of machine learning components
Experience in supporting large Kubernetes networks in production
6 or more years of cloud programming experience preferably in Python or Go
Experience with running and maintaining ML platforms such as: Databricks, Sagemaker, and or VertexAI
Other Qualifications
Implementation and operation of distributed systems
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 collabora
Job Classification: Software Developers
Access our statewide or regional occupation report for more information about wages,
employment outlooks, skills, training programs, related occupations, and more.
Compensation
Salary: $145,900.00 per Year Depending on Experience, Depending on Qualifications
Job Requirements
Experience Required: At least 5 years
Education Required: BachelorsMinimum Age: N/A
Gender: N/A
Job ID: 479914169
Originally Posted on: 6/5/2025
Want to find more Chemistry opportunities?
Check out the 17,666 verified Chemistry jobs on iHireChemists
Similar Jobs
Sign Up for Job Alerts
