Sr. Cloud Infrastructure Engineer
Serve Robotics$150,000 - $200,000/year
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries
Requirements
- 6+ years of infrastructure experience, or equivalent practical experience
- Proficiency in Python (preferred) and/or Bash
- 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
- Experience designing complex systems and mentoring others in technical design
- Ability to scope project-level work, execute independently, and bring projects to completion
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
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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