Cloud Infrastructure Engineer
6 - 10 years
United States
$150k - $170k/year
Full-time
Remote
1 month ago
About the role
1. About Our Client:This organization operates within the healthcare AI sector, focusing exclusively on heart health. It addresses the challenge of predicting and preventing cardiac events with a platform that identifies risk up to 10 days in advance, improving on traditional clinical models that predict risk up to 10 years ahead. The program has demonstrated impact by reducing inpatient hospital days by 47% and generating approximately $1,800 in annual savings per member. It serves as the cardiac prevention partner to over 80% of large U.S. health plans and supports hundreds of public and private employers.
2. About the Opportunity:The Cloud Infrastructure Engineer will play a central role in building, scaling, and securing the systems that support the organization''s product. Reporting to the Cloud-Infra Engineering Manager, this position leads efforts to enhance infrastructure stability, deployment processes, and cloud environment reliability. The role involves close collaboration with Engineering, Data, and Security teams across multiple locations to support production systems, machine learning infrastructure, and operational tools that enable rapid and safe development.
3. Responsibilities:• Build, maintain, and scale production-ready cloud infrastructure on AWS and Kubernetes.
• Support machine learning pipeline development and data lake architecture.
• Advance build automation and transition the team from continuous integration to continuous delivery.
• Secure, scale, and manage Kafka clusters on Kubernetes.
• Collaborate with Engineering and Security teams to enhance infrastructure reliability, security, and compliance.
• Develop dashboards, alerts, internal tools, and response processes for security and reliability risks.
• Improve logging, monitoring, and observability of production systems.
• Support containerized application deployments using Docker and Kubernetes.
• Evaluate and implement tools to boost developer productivity, system reliability, and infrastructure scalability.
4. Requirements:• Experience using AI tools to enhance engineering workflows.
• Minimum 5 years as a DevOps Engineer, Cloud Infrastructure Engineer, or similar role.
• Preferably based in Central or Eastern Time Zone US states with experience working in distributed teams.
• Production experience with Kubernetes and AWS or similar cloud providers.
• Proficiency in building and running Docker containers.
• Programming skills in Scala, Java, or Python.
• Experience with logging and monitoring tools like ELK or Prometheus.
• Familiarity with continuous integration and continuous delivery processes.
• Strong understanding of production systems, scalable architectures, reliability, and security best practices.
• Advantageous to have experience managing Kafka clusters and streams.
• Advantageous to have experience with AI coding tools such as Claude Code.
• Self-motivated, curious, and eager to learn and apply new technologies.
5. Pay Range and Compensation Package:• The US base salary range for this full-time position is $150,000 to $170,000.
• Salary is determined by role, level, skills, experience, and education or training.
• Compensation details exclude equity or benefits.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
2. About the Opportunity:The Cloud Infrastructure Engineer will play a central role in building, scaling, and securing the systems that support the organization''s product. Reporting to the Cloud-Infra Engineering Manager, this position leads efforts to enhance infrastructure stability, deployment processes, and cloud environment reliability. The role involves close collaboration with Engineering, Data, and Security teams across multiple locations to support production systems, machine learning infrastructure, and operational tools that enable rapid and safe development.
3. Responsibilities:• Build, maintain, and scale production-ready cloud infrastructure on AWS and Kubernetes.
• Support machine learning pipeline development and data lake architecture.
• Advance build automation and transition the team from continuous integration to continuous delivery.
• Secure, scale, and manage Kafka clusters on Kubernetes.
• Collaborate with Engineering and Security teams to enhance infrastructure reliability, security, and compliance.
• Develop dashboards, alerts, internal tools, and response processes for security and reliability risks.
• Improve logging, monitoring, and observability of production systems.
• Support containerized application deployments using Docker and Kubernetes.
• Evaluate and implement tools to boost developer productivity, system reliability, and infrastructure scalability.
4. Requirements:• Experience using AI tools to enhance engineering workflows.
• Minimum 5 years as a DevOps Engineer, Cloud Infrastructure Engineer, or similar role.
• Preferably based in Central or Eastern Time Zone US states with experience working in distributed teams.
• Production experience with Kubernetes and AWS or similar cloud providers.
• Proficiency in building and running Docker containers.
• Programming skills in Scala, Java, or Python.
• Experience with logging and monitoring tools like ELK or Prometheus.
• Familiarity with continuous integration and continuous delivery processes.
• Strong understanding of production systems, scalable architectures, reliability, and security best practices.
• Advantageous to have experience managing Kafka clusters and streams.
• Advantageous to have experience with AI coding tools such as Claude Code.
• Self-motivated, curious, and eager to learn and apply new technologies.
5. Pay Range and Compensation Package:• The US base salary range for this full-time position is $150,000 to $170,000.
• Salary is determined by role, level, skills, experience, and education or training.
• Compensation details exclude equity or benefits.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
Skills
EngineeringSoftware Development