INACTIVE
Full-Time
Infrastructure Engineer
pulseData
11-50 employees
AI for patient data & outcome prediction
Data & Analytics
AI & Machine Learning
Senior
United States
Required Skills
Kubernetes
Data Science
Apache Spark
Requirements
- Minimum 5 years of experience
- Experience working with Kubernetes and Spark
- Comfortable working in a startup environment
- Growth mindset with the ability to work with remote teammates
Responsibilities
- At pulseData, we provide value-based healthcare organizations and their care teams a patented data intelligence platform that helps deliver better care at less cost. As a company, we leverage data science and machine learning for Hospitals and Healthcare companies, to identify patients at risk of costly and avoidable medical outcomes
- You will become a member of pulseData's engineering team in this role. In this senior remote opportunity, you will be developing, deploying, and maintaining our HIPAA compliant cloud infrastructure and working in an environment of growth and collaboration
- You're excited about championing Infrastructure as Code
- You know the Importance of logging, monitoring and reporting
- You're comfortable working within Kubernetes
- You're comfortable managing Spark and data pipelines
- You're eager to apply your skills, learn, and expand your talents in a diverse and challenging environment that offers the latest technologies
pulseData uses patented AI to better diagnose, risk stratify and predict adverse events for patients with chronic kidney disease or disorders involving both the heart and the kidneys. Their software drives preventive action, saves medical costs and helps eliminate suffering and they're on a mission to help eliminate preventable sickness.
Company Stage
Series A
Total Funding
$22.9M
Headquarters
New York, New York
Founded
2015
Growth & Insights
Headcount
6 month growth
↓ -4%1 year growth
↑ 20%2 year growth
↑ 20%INACTIVE