MLOps Staff Cloud Engineer at HCA Healthcare
Nashville, TN 37203, USA -
Full Time


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

Description

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:

  • Demonstrate Leadership in MLOps

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.

  • Enable End-to-End Machine Learning Pipelines

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.

  • Promote Infrastructure as Code (IaC)

Develop and maintain IaC solutions for MLOps workflows using Terraform or similar tools, focusing on standardization and repeatability across environments.

  • Collaboration with External Teams and Partners

Partner with Cloud providers to provide feedback, shape product roadmaps, and ensure services meet HCA’s MLOps requirements.

  • Collaborate with Internal Teams and Partners

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.

  • Documentation and Knowledge Sharing

Develop and maintain thorough documentation, including configuration guides, architectural diagrams, and best practice documentation for MLOps. Share knowledge across teams to standardize MLOps processes.

  • Drive Continuous Improvement in MLOps Tools and Practices

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:

  • Bachelor’s degree preferred.
  • 5+ years of experience in cloud focused MLOps, DevOps, or related role, preferably in a mid-sized to large organization.
  • GCP Professional Cloud Architect or equivalent certification preferred.

Preferred Skills:

  • Strong knowledge of GCP services (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage).
  • Proficiency with CI/CD tools (e.g., GitHub Actions, Jenkins) and MLOps platforms.
  • Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and model serving techniques.
  • Solid understanding of cloud architecture and infrastructure optimization.
  • Strong communication and leadership 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

Responsibilities
  • Demonstrate Leadership in MLOp
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