Senior Machine Learning Engineer (MLOps)

Senior Machine Learning Operations Engineer

At SailPoint, we do things differently. We understand that a fun-loving work environment can be highly motivating and productive. When smart people work on intriguing problems, and they enjoy coming to work each day, or more likely, remotely connecting to work.  With that philosophy, we’ve assembled the best identity team in the world that is passionate about the power of identity.

SailPoint is seeking a Senior Machine Learning Operations Engineer (MLOps) who is passionate about building ML workflows and pipelines to help productize Machine Learning models at scale. You will be part of an agile team tasked with building and maintaining SailPoint’s ML Platform, which enables teams across SailPoint to build, deploy, and monitor machine learning models.

This position is Remote or Hybrid (Austin, TX).

Responsibilities

• Create automation to automate the deployment of Machine Learning models on AWS SageMaker.
• Write batch and streaming jobs to fill our Feast feature store with data from our Snowflake cluster.
• Create and use patterns that other teams will use in their own machine learning environments.
• Help maintain a machine learning platform in production.
• Help create CI/CD pipelines so other teams can publish their own model to production.
• Deliver efficient, maintainable, robust microservices.
• Produce designs, rough estimates, and implement features based on product requirements.
• Collaborate with peers on designs, code reviews, and testing.
• Produce unit and end-to-end tests to improve code quality and allow for continuous delivery.
• Ensure that features are properly deployed into production and generate metrics.
• Partner with Application Teams to build and maintain resilient, secure, and efficient SaaS (software as a service) applications that meet established SLAs.
• Automate deployment, monitoring, management, and incident response.
• Monitor site stability and performance and troubleshoot service issues.
• Collaborate with developers to bring new features and services into production.
• Must be willing to be part of an on-call rotation.
   

Requirements

• 5+ years of software development experience, with at least 2 years of experience with deploying Machine Learning models into production.
• Familiarity with Python, including working knowledge of standard libraries and design patterns.
• Experience in implementing and using RESTful APIs for an API-first application architecture.
• Experience building microservices and knowledge of microservice patterns.
• Some experience with Docker and Kubernetes
• Great communication skills
• B.S. in Computer Science or related field, preferred, not require
   

Preferred

• Experience with AWS
• Experience with AWS Sagemaker
• Experience with Continuous Delivery
• Experience with cloud message APIs and push notifications
   

Compensation and benefits

SailPoint is committed to providing our Crew Members with a benefits program that is both comprehensive and competitive. Our benefits program offers medical/pharmacy and dental coverage, as well as financial security for our Crew Members and their families. All premiums are paid by SailPoint.
 

• Full time remote employment 
• Competitive salaries
• Company sponsored healthcare coverage for you and your family.
• Annual performance bonus
• Phone and internet reimbursement
• Private equity at certain levels 
   

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. SailPoint is an equal opportunity employer, and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

SailPoint is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.