# Senior DevOps Engineer (Infrastructure & MLOps)
**Company:** [Prompt Health](https://hotfix.jobs/companies/prompt-health)
**Location:** Remote
**Salary:** $180K-$225K
**Experience:** 5+ years
**Skills:** AWS, Docker, Kubernetes, Terraform, CI/CD, MLOps, Python, GitLab, GitHub Actions, ECS, Fargate, SageMaker, AWS Lambda, Datadog, Prometheus
**Posted:** 2026-04-24
> Designs and manages scalable AWS infrastructure, builds CI/CD pipelines for web and ML applications, implements MLOps practices, and ensures reliability through monitoring. Requires 5+ years DevOps experience, AWS expertise, containerization, and Python scripting.
## Job Description
## Key Responsibilities
- Design, implement, and manage highly available infrastructure for our cloud-based platforms (AWS).
- Work with our internal engineering teams to architect and support AI/ML infrastructure, specifically managing AWS Lambda infrastructure, and some legacy SageMaker environments for model training, hosting, and inference.
- Create and automate robust deployment pipelines using CI/CD tools (GitLab / GitHub Actions) for both web applications and machine learning models.
- Build, maintain, and scale containerized applications with **Docker** and **ECS/Fargate**.
- Implement MLOps best practices to streamline the transition of models from development to production.
- Ensure system scalability and reliability through proactive monitoring, logging, and automated alerting.
- Collaborate with both Product Engineers and Data Scientists to optimize performance, security, and infrastructure costs.
- Manage and evolve our **Infrastructure as Code (IaC)** footprint.

## Qualifications
- 5+ years of experience in a DevOps or infrastructure role.
- Expert knowledge of cloud platforms such as **AWS**, **GCP** and **Azure**.
- Strong experience with containerization technologies (**Docker**, **ECS / Kubernetes**).
- Proven track record of designing and managing complex CI/CD pipelines.
- Experience with MLOps workflows (model versioning, retraining pipelines, or feature stores).
- Hands-on experience with monitoring and logging tools (**Datadog**, **Prometheus**, **Grafana**, **MLflow**).
- Expertise in scripting languages (**Python** is a must, along with **Bash**, **Go**, etc.).
- Proficiency with infrastructure automation tools (**Terraform**, **Ansible**, or **CloudFormation**).
- Excellent communication skills and the ability to bridge the gap between traditional DevOps and Data Science teams.

## Preferred Skills
- Specific experience in **AWS Lambda**, **SageMaker** and other related AI/ML services.
- Experience with database management (**SQL/NoSQL**) and data pipeline orchestration, including **Google BigQuery**.
- Knowledge of security best practices specifically regarding data privacy in AI and healthcare (**HIPAA** compliance).
- Previous experience in fast-paced, agile startup environments.

## Perks
- Competitive salaries
- Remote/hybrid environment
- Potential equity compensation for outstanding performance
- Flexible PTO
- Company-wide sponsored lunches
- Company paid disability and life insurance benefits
- Company paid family and medical leave
- Medical, dental, and vision insurance benefits
- Discounted pet insurance
- FSA/DCA and commuter benefits
- 401k
- Complimentary subscription to digital fitness classes and wellness content
- Recovery suite at HQ – includes a cold plunge, sauna, and shower
**Apply:** https://hotfix.jobs/jobs/senior-devops-engineer-infrastructure-mlops-at-prompt-health-ef86c079-333a-4a3a-90f6-96f5b5e9b335
**Canonical:** https://hotfix.jobs/jobs/senior-devops-engineer-infrastructure-mlops-at-prompt-health-ef86c079-333a-4a3a-90f6-96f5b5e9b335