13 hours ago
Base Salary
$160k - $215k/yr
Responsibilities
- Architect and evolve cloud infrastructure across AWS, Kubernetes, Elastic Container Service, Lambda, EC2, and data stores.
- Collaborate with engineering leadership, machine learning, data science, and product partners on platform strategy.
- 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.
- Scope project-level work, execute independently, complete projects, and mentor others in technical design.
Requirements
- 6+ years of hands-on infrastructure or platform development experience, or equivalent practical experience, in modern cloud-native environments.
- Extensive experience operating Kubernetes in production, including cluster lifecycle management, scaling, and container security.
- Proficiency in Python and/or Bash and familiarity with CDK, Terraform, or Pulumi.
- Strong familiarity with AWS and/or GCP services.
- Networking fundamentals and comfort working in command-line Linux environments.
- Clear communication and collaboration skills, including organizing work, delegating when appropriate, and giving and receiving feedback.
- Experience designing complex systems and mentoring others in technical design.
- Preferred qualifications include deep Linux troubleshooting, experience in HIPAA-regulated environments or early-stage startups, healthcare, security, or machine learning backgrounds, HL7 or radiology workflow familiarity, OpenTelemetry or Grafana experience, and Spark or Hadoop-related experience.
Benefits
- Comprehensive medical, dental, vision, and life insurance.
- HSA with employer match, FSA, and DCFSA.
- 401(k).
- 11 paid company holidays.
- Flexible PTO policy.
- Annual company-wide offsite and periodic team offsites.
- Annual equipment stipend.
- For San Francisco onsite roles, employees work onsite four days per week with remaining time remote or onsite depending on team and business needs; US Remote roles are open to candidates anywhere in the United States.
Tech Stack
Categories
About Rad AI
Rad AI builds AI software for radiologists and health systems to streamline reporting and radiology workflows, integrating with PACS and EHR systems. Products include generative AI tools for report drafting and quality improvement used by radiology groups and hospitals such as Cone Health, Geisinger, and Henry Ford Health. Founded in 2018, the privately held company is headquartered in San Francisco.