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DevOps Engineer

Austin, Texas, United States; Remote, United States
DevOps/Sysadmin

HeartFlow is a Software as a Service (SaaS) medical device company.  We use cutting-edge technology (deep learning, computational fluid dynamics, cloud-based computing) combined with advanced clinical expertise to revolutionize the treatment of coronary artery disease. #LI-Remote; #LI-IB1

A DevOps engineer is a technical leader that brings advanced experience in software development. You will work alongside our exceptional engineering team to deliver the future generations of our technology:

  • Cloud-based algorithmic pipelines for image and geometry processing (C++, Python, AWS)
  • Tooling for Machine Learning: data management, model training, validation and deployment (C++, Python/Pytorch, AWS)

You will help us unlock the full potential of our domain expertise, leveraging unrivaled amounts of data to tackle unique medical and computing challenges.

Job Responsibilities:

  • Create infrastructure in AWS that supports our globally deployed applications
  • Build robust cloud management services for monitoring, logging, security scanning, and alerting
  • Monitor system performance, application health, and infrastructure metrics 
  • Implement proactive measures to optimize performance and availability
  • Continuously improve (simplify, automate, document) our deployment process
  • Apply security best practices at the cloud, operating system, and application level
  • Follow HIPAA compliance guidelines and policies
  • Contribute to a culture of learning, collaboration, and continuous improvement within the team

Skills Required:

  • Proficient in AWS Tooling, such as EC2, RDS, S3, IAM, and Networking services
  • Knowledgeable about best practices in AWS, Chef, Docker, and Jenkins
  • Strong Linux skills 
  • Working understanding of Python, Git, SQL, and Terraform
  • Excellent communication and collaboration skills

Highly Preferred Skills:

  • Experience with logging and monitoring tooling, such as CloudWatch and/or Datadog
  • Understanding of AWS Serverless Technologies like Step Functions, Lambda and Fargate
  • Knowledgeable about Artifact management using Artifactory 

Educational Requirements & Work Experience: 

  • BS in computer science or technical field preferred
  • 2+ years relevant work experience

The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience and training; skill sets; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary compensation range is $102,000 to $142,400 (for all locations outside San Francisco Bay Area) and $115,000 to $160,000 (for San Francisco Bay Area). 

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