
Healthcare Insurance • Artificial Intelligence • SaaS
Health Catalyst is a leading provider of data and analytics technology and services to healthcare organizations, committed to being the catalyst for massive, measurable, data-informed healthcare improvement. The company empowers organizations with AI-enabled insights and comprehensive data solutions to drive scalable, measurable improvements in patient outcomes, operational efficiency, and financial performance. With a focus on population health management, clinical quality, and patient engagement, Health Catalyst aims to transform healthcare through data-driven decision-making.
15 hours ago
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor

Healthcare Insurance • Artificial Intelligence • SaaS
Health Catalyst is a leading provider of data and analytics technology and services to healthcare organizations, committed to being the catalyst for massive, measurable, data-informed healthcare improvement. The company empowers organizations with AI-enabled insights and comprehensive data solutions to drive scalable, measurable improvements in patient outcomes, operational efficiency, and financial performance. With a focus on population health management, clinical quality, and patient engagement, Health Catalyst aims to transform healthcare through data-driven decision-making.
• Design, implement, and operate scalable, secure, and resilient infrastructure on Google Cloud Platform (GCP) • Build and maintain CI/CD pipelines using Jenkins or GitLab CI/CD • Implement and refine observability using Sentry, Sumo Logic, and GCP Cloud Monitoring and Logging • Apply and maintain least-privilege IAM policies and secure configuration baselines • Engage with the cross-product SRE squad to learn and contribute across multiple Health Catalyst platforms
• 5–7 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering • Deep expertise in GCP, especially GKE • Strong working knowledge of Kubernetes and containerized deployments • Proven experience with CI/CD tools such as Jenkins or GitLab • Scripting experience in Python, Bash, or similar languages • Solid understanding of networking, security, and performance fundamentals • Hands-on experience with cloud cost management and optimization
• Flexible PTO • Professional development stipend • Remote-first work environment
Apply NowYesterday
DevOps Engineer with cloud infrastructure responsibilities at SmithRx, a Health-Tech company. Join a mission-driven team dedicated to cost-effective pharmacy solutions with innovative technology.
🇺🇸 United States – Remote
💰 $20M Series B on 2022-03
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
Amazon Redshift
AWS
BigQuery
Cloud
Groovy
Kubernetes
NoSQL
Perl
Postgres
Python
Redis
Ruby
SQL
Terraform
Go
4 days ago
AWS DevOps Engineer designing, building, and securing cloud infrastructure for Gabb's device ecosystem. This role combines hands-on and architectural responsibilities and ensures environments are scalable and secure.
🇺🇸 United States – Remote
💰 Debt Financing on 2022-03
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
AWS
Cloud
Docker
EC2
Jenkins
Kubernetes
Prometheus
Python
Terraform
Go
4 days ago
Senior DevSecOps Engineer focusing on security and scalability for a rapidly growing healthcare company. Support a remote workforce aiming for multi-region resilience.
🇺🇸 United States – Remote
💵 $125k - $150k / year
💰 $26M Venture Round on 2022-10
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
Cloud
4 days ago
Site Reliability Engineer designing and operating large-scale observability systems that span global regions. Working on AI, data, and platform services at NVIDIA.
🇺🇸 United States – Remote
💵 $184k - $287.5k / year
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor
Distributed Systems
ElasticSearch
Java
Linux
Prometheus
Python
Go
4 days ago
Senior DevOps Engineer deploying applications to production environments for Hedera services. Focus on continuous improvement, automation, and self-service for engineering teams.
AWS
Azure
Cloud
Google Cloud Platform
Kubernetes
Linux
Open Source
Terraform