H

H1

AI-powered healthcare data analytics for R&D

Senior AWS Cloud Infrastructure Engineer

Cloud EngineeringUpdated on Nov 13
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 6 years of hands-on experience in cloud infrastructure engineering or DevOps, including at least 5 years working extensively with AWS.
  • Strong expertise designing, building, and managing AWS infrastructure, including IAM, S3, EKS (Kubernetes), and EMR.
  • Advanced proficiency with Terraform for Infrastructure as Code (IaC), infrastructure provisioning, and automation.
  • Hands-on experience with Docker, Kubernetes, and container orchestration in AWS environments.
  • Experience building and maintaining CI/CD pipelines; CircleCI is preferred.
  • Proficiency in Python and/or Bash scripting to automate infrastructure workflows and reduce manual processes.
  • Experience with AWS cost optimization, resource utilization, cloud infrastructure security, and networking.
  • Experience supporting or troubleshooting production databases, ideally within AWS environments.
  • Ability to independently own complex infrastructure projects and collaborate across engineering teams.
  • Experience designing, building, and supporting production AWS infrastructure, rather than primarily focusing on monitoring or SRE functions.
  • Ability to independently scope, design, and execute complex cloud infrastructure projects while balancing operational priorities.
  • Experience supporting containerized applications and cloud-native data platforms.
  • Strong troubleshooting skills across AWS infrastructure, networking, permissions, and deployment environments.
  • Clear communication skills and the ability to collaborate with software engineers, data engineers, and cross-functional stakeholders.

Responsibilities

  • Design, build, and manage scalable AWS cloud infrastructure using Terraform and Infrastructure as Code best practices.
  • Own infrastructure projects end-to-end, from technical design and provisioning through deployment, troubleshooting, and optimization.
  • Build and maintain AWS environments leveraging IAM, S3, EKS, EMR, and supporting cloud services.
  • Develop automation and self-service capabilities using Python and scripting to streamline infrastructure provisioning and reduce manual effort.
  • Optimize AWS infrastructure costs through resource utilization analysis, cost dashboards, and continuous improvement initiatives.
  • Maintain and improve CI/CD pipelines using CircleCI, partnering with engineering teams to support application and infrastructure deployments.
  • Support infrastructure and database-related troubleshooting, collaborating with engineering and database teams to resolve issues and improve operational efficiency.
  • Partner with Software Engineering, Data Engineering, and other technical teams to provision new infrastructure, improve existing environments, automate manual processes, and support applications and data platforms.
  • Contribute to database infrastructure and operational support, helping troubleshoot and resolve database-related challenges across US-based projects.

Desired Qualifications

  • Experience building and maintaining CI/CD pipelines using CircleCI.
  • Experience supporting or troubleshooting production databases, ideally within AWS environments.

About the Company

H1

AI-powered healthcare data analytics for R&D

H1.co provides AI-enabled data analytics and enterprise tools for healthcare and life sciences, connecting clinicians, researchers, payors, providers, and patients. Its products include R&D Pipeline Acceleration, Clinical Trial Design, KOL Engagement, Education, and Market Access, plus the free H1 Connect insights platform. The system collects and validates healthcare data to produce data-driven insights that inform bench-to-bedside decisions, analyzing provider affiliations, demographics, and patient coverage across the U.S. It differentiates itself through high data accuracy, breadth, and scale for U.S. providers, and by offering both paid enterprise tools and a free insights platform. Its goal is to democratize healthcare data to speed delivery, research, and diverse clinical trials.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$227.1M
Headquarters
New York City, New York
Founded
2017

Recently Posted Jobs

Explore more opportunities at H1

See more jobs