Site Reliability Engineer
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 our first Site Reliability Engineer to join our platform engineering team. This person would be responsible for architecting a fault-tolerant infrastructure primed for seamless scaling, enhancing and turbocharging our system reliability engineering practices, and innovating team-wide workflows and methodologies to bolster system resilience.
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.
- Be responsible for network and systems monitoring, alert strategies, and coming up with procedures to manage a 24x7 strategy to respond quickly to issues.
- Work closely with the engineering leaders along with machine learning and data science teams and other functions to define a vision for our SRE efforts.
- Build and maintain efficient tooling for the entire engineering team to improve productivity.
This what you'll need:
- Data driven approach and ability to quickly and effectively resolve problems.
- At least 3 years professional experience writing in either of these languages: Python (preferable), Bash, Ruby or other common languages used within the industry.
- Experience with AWS services.
- Networking experience, comfortable working with command-line Linux.
- Excellent ability to communicate, organize, delegate, and give honest feedback, comfortable collaborating within the platform team and internally.
- Experience with Opentelemerty or similar tracing services.
- Ability to design complex systems and can help others produce great technical designs as well.
- Deep Linux troubleshooting skills, with the ability to debug kernel and driver issues.
- Willingness to participate in an on-call rotation.
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
401(k)
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.