Start Date
Immediate
Expiry Date
24 Jul, 25
Salary
0.0
Posted On
24 Apr, 25
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Jenkins, Leadership Skills, Infrastructure Optimization, Infrastructure Management, Project Managers, Color, Collaboration, Testing, Documentation, Automation, Reliability, Google Cloud Platform, Teams, Cloud, Code, Models, Continuous Improvement, Infrastructure, Azure
Industry
Information Technology/IT
INTRODUCTION
Do you want to join an organization that invests in you as a Staff Cloud Engineer? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.
NOTE: ELIGIBILITY FOR BENEFITS MAY VARY BY LOCATION.
You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Staff Cloud Engineer like you to be a part of our team.
JOB SUMMARY AND QUALIFICATIONS
Position Summary:
The Staff Cloud Engineer role on the MLOps team is ideal for individuals passionate about leveraging cloud technologies to support and scale machine learning operations. You will work closely with HCA ITG leaders, data scientists, project managers, enterprise architects, and other technical teams to deliver solutions that enable seamless machine learning model deployment, monitoring, and lifecycle management, while adhering to HCA policies and industry best practices.
This position will focus on architecting, optimizing, and automating MLOps workflows within Google Cloud Platform (GCP), with Azure as an accepted alternative when necessary. Responsibilities include ensuring that machine learning models are deployed in a secure, scalable, and efficient manner, with strong governance and cloud infrastructure management.
Major Responsibilities:
Define and implement strategies for MLOps, focusing on scalable, automated, and secure machine learning operations in a GCP environment. This includes model versioning, deployment, monitoring, and lifecycle management.
Architect and implement CI/CD pipelines for machine learning models, enabling automated model training, testing, deployment, and retraining. Collaborate with data scientists to operationalize models.
Develop and maintain IaC solutions for MLOps workflows using Terraform or similar tools, focusing on standardization and repeatability across environments.
Partner with Cloud providers to provide feedback, shape product roadmaps, and ensure services meet HCA’s MLOps requirements.
Work with Security and Enterprise Architecture teams to ensure all deployed models comply with security guidelines, data privacy laws, and governance standards, especially around data handling and model interpretability.
Develop and maintain thorough documentation, including configuration guides, architectural diagrams, and best practice documentation for MLOps. Share knowledge across teams to standardize MLOps processes.
Evaluate emerging MLOps tools, frameworks, and technologies, identifying opportunities for improvement in current workflows and recommending tools to increase automation, efficiency, and reliability.
Education & Experience:
Preferred Skills:
HCA Healthcare has been recognized as one of the World’s Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.
“Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Staff Cloud Engineer opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status