Software Engineer, Infrastructure (All Levels)

Rad AI
San Francisco
Workplace: OnsiteFull timeUSD 160,000 - 300,000 annuallyFunction: Software EngineeringExperience: 4+ yearsSkills: ["Communication","Mentoring","Collaboration","Leadership","Problem-solving"]

Build and evolve Rad AI’s cloud infrastructure and platform capabilities (AWS-centric) to support a growing AI healthcare product suite. You’ll design scalable, observable systems, collaborate with Platform, product, data, and ML teams, define reliability standards, mentor engineers, and ensure HIPAA-compliant practices while advancing CI/CD and developer experience.

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FursaFursa
Rad AI
Rad AI
7 months ago

Software Engineer, Infrastructure (All Levels)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and evolve Rad AI’s cloud infrastructure and platform capabilities (AWS-centric) to support a growing AI healthcare product suite. You’ll design scalable, observable systems, collaborate with Platform, product, data, and ML teams, define reliability standards, mentor engineers, and ensure HIPAA-compliant practices while advancing CI/CD and developer experience.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Influence the technical direction for infrastructure and platform capabilities supporting our AI products.
  • •Architect and evolve cloud infrastructure (primarily AWS) across Kubernetes, ECS, Lambda, EC2, and data stores.
  • •Collaborate with Platform, product, data, and ML teams to design robust, observable, HIPAA-compliant systems.
  • •Define and drive infrastructure strategy, align roadmaps, set standards, and sequence work for maximum business impact.
  • •Mentor engineers across Platform and product teams, review design docs, and model high standards for reliability and security.

Pay and Benefits

Salary: USD 160,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kRemote WorkLearning BudgetPaid LeaveVisionDentalLife InsuranceRelocation

Key Requirements

  • •4+ years of hands-on infrastructure / platform development experience in modern, cloud-native environments
  • •Deep expertise with AWS (preferred) and/or GCP, including core networking, compute, storage, and managed services
  • •Proficiency in at least one programming/scripting language used for infrastructure work (Python preferred)
  • •Extensive experience building tooling and automation for other engineers
  • •Strong experience with Kubernetes, containers (Docker), and container orchestration
Experience:4+ yearsHealthcareHealthtechAi
Skills:CommunicationMentoringCollaborationLeadershipProblem-solving
Tech Stack:AWSKubernetesDockerPythonTerraformPulumiEC2LambdaOpenTelemetryCloudWatch

Company Brief

Rad AI
Builds generative AI solutions for radiology to automate report writing, reduce radiologist burnout, and improve patient follow-up and care across health systems and radiology practices.
Industry: HealthTech
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2018
Glassdoor
Glassdoor: 4.6
WebsiteLinkedInGlassdoor