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Senior Platform Engineer

Rad AI

Rad AI

Software Engineering
United States
Posted on Thursday, September 7, 2023
Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.
Why we’re hiring for this role: We are seeking a Senior Platform Engineer to join our rapidly growing platform engineering team. This person would be responsible for engineering a resilient infrastructure for rapid scaling, streamlining and supercharging our CI/CD pipeline processes, and revolutionizing team-wide workflows and methodologies.

This is what you’ll do:

  • Architect and build infrastructure to support the platform using container orchestration tools (Kubernetes preferred), serverless applications (such as Lambda), virtual machines such as EC2 (GCE or Azure VMs), Databases, etc.
  • Utilize existing tools and create new ones to ensure a stable testing and deployment system.
  • Track, triage, debug, and create resilience around issues as they arise.
  • Utilize best practices in continuous integration.
  • Design infrastructure that makes development and running experiments easy.
  • Mentor other members of the engineering team on DevOps culture and tools.

This what you'll need:

  • B.S. in computer science or equivalent experience.
  • Experience with cloud platforms such as AWS (preferable) or GCP and the tools to manage them.
  • At least 5 years experience working directly on infrastructure.
  • Extremely comfortable with Linux OS (Ubuntu/Debian preferred).
  • Strong programming skills in Python and other programming languages (Go, Ruby, etc.).
  • Experience with configuration management tools such as Ansible or similar (Puppet, Salt, etc).
  • Experience writing Infrastructure as Code such as Terraform (or similar).
  • Experience with CI/CD tools (Github Actions, CircleCI or Jenkins).

This would be nice to have:

  • Experience working at an early stage startup.
  • Experience in a HIPAA compliant environment.
  • Experience working in the fields of healthcare, security, or machine learning.
  • Experience with HL7 or radiology workflow is a plus.
  • Experience with Opentelemerty or similar tracing services.
  • Experience with Graylog or similar logging services.
  • Experience with Machine Learning tooling.
  • Experience working with Spark (EMR, DataProc, HD Insights) and Hadoop related technologies.
Rad AI offers a variety of benefits, including:
Comprehensive Medical, Dental, Vision & Life insurance
HSA (with employer match), FSA, & DCFSA
11 paid company holidays
Location-flexibility (remote-first company!)
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
Company sponsored co-working space benefit
Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.
Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!
Thank you for your interest. We look forward to hearing from you.
At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.