Senior Software Engineer, Infrastructure

What You'll Be Doing

• Architect and evolve our cloud infrastructure (primarily on AWS) across container orchestration (Kubernetes, Elastic Container Service), serverless (e.g., Lambda), virtual machines (e.g., EC2), and data stores to support current and future products.
• 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.

Who We're Looking For

• A data‑informed approach and a track record of effective problem solving.
• Bring 6+ years of hands-on infrastructure / platform development experience (or equivalent practical experience) in modern, cloud-native environments, with a track record of owning critical systems in production.
• Extensive experience operating Kubernetes in production, including familiarity with cluster lifecycle management, scaling, and container security.
• Proficiency in one or more languages—Python (preferred) and/or Bash—and familiarity with Infrastructure as Code (IaC) tools such as CDK, 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.

Nice to Haves

• 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 Grafana or similar logging services.
• Experience with Spark (e.g., EMR, Dataproc, HDInsight) and Hadoop‑related technologies.

Compensation & Benefits

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend