Prompt, Inc. logo

Senior DevOps Engineer (Infrastructure & MLOps)

Job Overview

Location

Remote

Job Type

Full-time

Category

DevOps & SysAdmin

Date Posted

April 26, 2026

Full Job Description

đź“‹ Description

  • • Senior DevOps Engineer responsible for managing and improving infrastructure and deployment processes to ensure scalability, security, and reliability of cloud-based platforms, with a focus on supporting AI/ML systems and MLOps workflows.
  • • Day-to-day tasks include designing and managing AWS infrastructure, architecting AI/ML infrastructure (including AWS Lambda and legacy SageMaker), creating CI/CD pipelines for web apps and ML models using GitLab/GitHub Actions, building and scaling containerized applications with Docker and ECS/Fargate, implementing MLOps best practices, ensuring system reliability through monitoring and logging, collaborating with Product Engineers and Data Scientists, and managing Infrastructure as Code (IaC).
  • • Prompt is revolutionizing healthcare by delivering automated B2B enterprise software for rehab therapy businesses, establishing itself as a leader in healthcare technology with rapid growth and a mission to improve patient care while reducing environmental waste.
  • • In this role, you will lead the infrastructure that powers AI-driven features, gain deep expertise in MLOps and cloud-native systems, collaborate across engineering and data science teams, and directly impact the scalability and reliability of a growing healthcare platform.

Skills & Technologies

Python
AWS
Azure
GCP
Docker
DevOps
Senior
Remote

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Prompt, Inc.
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About Prompt, Inc.

Prompt is a healthcare technology company that provides cloud-based electronic health record and practice management software designed for physical, occupational, speech, and behavioral therapy clinics. Its unified platform integrates scheduling, documentation, billing, analytics, and patient engagement tools to streamline workflows, reduce administrative burden, and improve clinical and financial outcomes for therapy practices of all sizes.

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