[Remote] Senior Infrastructure Engineer at Rad AI

United States

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$160,000 – $185,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AIIndustries

Requirements

Data-informed approach and track record of effective problem solving
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

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

Skills

Key technologies and capabilities for this role

DevOpsInfrastructure ArchitectureScalable SystemsReliability EngineeringWorkflow Optimization

Questions & Answers

Common questions about this position

What is the salary range for the Senior Infrastructure Engineer position?

The salary range is $160K - $185K.

Is this position remote?

Yes, the position is remote.

What skills and experience are required for this role?

The role requires 6+ years of infrastructure experience, expertise in container orchestration like Kubernetes, serverless applications such as AWS Lambda, virtual machines like EC2, and databases. A data-informed approach and track record of effective problem solving are also needed.

What is the company culture like at Rad AI?

Rad AI fosters a collaborative environment focused on building resilient platforms, working across functions like engineering leadership, machine learning, data science, and product teams, with an emphasis on blameless post-incident reviews and equitable on-call rotations.

What makes a strong candidate for this Senior Infrastructure Engineer role?

Strong candidates have 6+ years of infrastructure experience or equivalent, a data-informed approach, effective problem-solving skills, and expertise in technologies like Kubernetes, AWS Lambda, EC2, and databases.

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Risks

Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.

Rapid AI technology evolution requires Rad AI to continuously innovate.

AI-driven automation may face resistance from the medical community.

Differentiation

Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.

Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.

Rad AI is a pioneer in using large language models for radiology report generation.

Upsides

Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.

Rad AI raised $50M in Series B funding, boosting its expansion capabilities.

Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

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