Rad AI · 1 month ago
Senior Infrastructure Engineer
Rad AI is on a mission to transform healthcare with artificial intelligence. They are seeking a Senior Infrastructure Engineer with a focus on DevOps to design and operate robust, scalable systems, contributing to infrastructure architecture and reliability practices.
Artificial Intelligence (AI)Enterprise SoftwareHealth Care
Responsibilities
Architect and build platform infrastructure using container orchestration (preferably Kubernetes), serverless applications (e.g., AWS Lambda), virtual machines such as EC2 (or equivalents in Google Compute Engine on GCP or Microsoft Azure), and databases
Collaborate with engineering leadership, machine learning, data science, and product partners to help shape our platform vision
Develop and maintain tooling that improves engineering productivity and developer experience
Promote sustainable incident response and lead blameless post-incident reviews
Manage network and systems monitoring, design alert strategies, and participate in an equitable on‑call rotation
Qualification
Required
A data‑informed approach and a track record of effective problem solving
Demonstrated expertise and deep practical knowledge typically gained from 6+ years of infrastructure experience, or equivalent practical experience through non-traditional paths, training, or project work
Proficiency in one or more languages—Python (preferred) and/or Bash—and familiarity with Infrastructure as Code (IaC) tools such as Terraform or Pulumi
Strong familiarity with AWS and/or GCP services
Networking fundamentals and comfort working in command‑line Linux environments
Clear, respectful communication and collaboration skills, including organizing work, delegating when appropriate, and giving/receiving feedback
Experience designing complex systems and mentoring others in technical design
Ability to scope project-level work, execute independently, and bring projects to completion while collaborating with teammates
Preferred
Proficiency in deep Linux troubleshooting, including debugging kernel and driver issues
Experience in regulated environments (e.g., HIPAA) or at early‑stage startups
Background in healthcare, security, or machine learning
Familiarity with HL7 or radiology workflows
Experience with OpenTelemetry or similar tracing services
Familiarity with Graylog or similar logging services
Experience with Spark (e.g., EMR, Dataproc, HDInsight) and Hadoop‑related technologies
Benefits
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
Rad AI
Rad AI develops software that uses AI to automate radiology report writing, aiming to enhance accuracy and reduce radiologist burnout.
H1B Sponsorship
Rad AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (7)
2023 (3)
2022 (6)
2021 (2)
Funding
Current Stage
Growth StageTotal Funding
$151MKey Investors
Transformation CapitalKhosla VenturesArtis Ventures
2025-05-20Series C· $8M
2025-01-25Series C· $60M
2024-05-07Series B· $50M
Recent News
2025-12-05
2025-12-01
2025-11-20
Company data provided by crunchbase