BioIntelliSense
DevOps Engineer
About this role
Join BioIntelliSense's DevOps team to build and maintain the cloud infrastructure and CI/CD pipelines powering healthcare monitoring technology. You'll work in a remote-first startup environment, owning infrastructure automation, observability, and deployment processes while leveraging AI tools to drive efficiency and reliability across production systems.
What you'll do
- Design and maintain CI/CD pipelines for reliable, secure deployments across multiple environments
- Develop and manage infrastructure-as-code solutions for cloud infrastructure
- Implement observability and monitoring systems to ensure platform reliability
- Automate deployment processes and infrastructure provisioning
- Support multiple production environments with high availability requirements
- Collaborate with engineering teams to improve deployment workflows and developer experience
What they're looking for
- CI/CD pipeline development
- Infrastructure-as-code (IaC)
- Cloud infrastructure management
- Observability and monitoring tools
- Automation and scripting
- Production environment management
- AI tooling and modern development practices
- Security and compliance in deployments
Benefits
- Remote-first work environment
- Fast-paced startup culture with growth opportunities
- Mission-driven work in healthcare technology
- Collaborative, passionate team environment
- Impact on patient care outcomes globally
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BioIntelliSense
BioIntelliSense builds healthcare monitoring technology powered by cloud infrastructure and AI-driven systems. The company is hiring DevOps engineers to own infrastructure automation, observability, and deployment pipelines in a remote-first startup environment.
View all jobs at BioIntelliSenseLikely interview questions
- Describe your experience designing and maintaining CI/CD pipelines. What tools have you used, and how did you approach scaling them across multiple environments?
- Tell us about a time you implemented infrastructure-as-code. What challenges did you face, and how did you ensure consistency across production environments?