Rad AI · 1 day ago
Staff Software Engineer - Infrastructure
United States
Full-time
Remote
Lead/Staff
$175K/yr - $230K/yr
8+ years expRad AI is transforming healthcare with artificial intelligence, focusing on improving radiology through innovative AI-driven solutions. They are seeking a Staff Software Engineer to design and operate robust cloud infrastructure systems, ensuring reliability and scalability for their AI product suite.
Artificial Intelligence (AI)Enterprise SoftwareHealth Care
Responsibilities
Influence the technical direction for infrastructure and platform capabilities that support our rapidly growing AI product suite
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
Work closely with Platform leadership, product engineering, data, and ML teams to design systems that are robust, observable, and compliant in a healthcare environment
Define and drive infrastructure strategy for the Platform org—partnering with engineering leadership to align roadmaps, set standards, and sequence work for maximum business impact
Secure networking, identity, and access patterns across environments
Improve reliability and operational excellence by defining SLOs, SLIs, and error budgets for core platform services
Leading and participating in blameless post-incident reviews and translating learnings into systemic improvements
Own observability and monitoring strategy across logging, metrics, and tracing, ensuring we can detect, debug, and prevent issues efficiently
Mentor and level up engineers across Platform and product teams—reviewing design docs, guiding architecture decisions, and modeling high standards for reliability, security, and maintainability
Partner with security and compliance stakeholders to ensure our infrastructure and operational practices meet HIPAA and other healthcare requirements
Advocate for and implement developer experience improvements, such as better CI/CD workflows, faster feedback loops, and tooling that reduces cognitive load for product teams
Qualification
Required
Bring 8+ 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
Have deep expertise with AWS (preferred) and/or GCP, including core networking, compute, storage, and managed services
Are highly proficient in at least one programming/scripting language used for infrastructure work (Python preferred)
Extensive experience building tooling and automation for other engineers
Have strong experience with Kubernetes, containers (Docker), and container orchestration, and understand how to operate these systems reliably at scale
Are comfortable with Infrastructure as Code (Terraform preferred, Pulumi, or similar) and Git-based workflows
Possess solid Linux fundamentals and are comfortable debugging issues at the OS, networking, and application layers
Have demonstrable experience leading complex, cross-team initiatives from design through rollout—communicating tradeoffs, aligning stakeholders, de-risking launches, and measuring impact
Communicate clearly and empathetically with both technical and non-technical partners, and enjoy mentoring engineers at multiple levels
Take a data-informed, pragmatic approach to decision-making—balancing ideal architecture with business needs, delivery timelines, and team capacity
Preferred
Experience in regulated environments (e.g., HIPAA) or prior work in healthcare or healthtech
Background in platform or security engineering, especially around access control, encryption, auditability, and compliance
Experience working closely with ML / data teams or with ML platforms (e.g., Airflow, Ray, ML pipelines, model serving stacks)
Familiarity with observability stacks (CloudWatch, New Relic, Grafana, OpenTelemetry, etc.)
Experience designing or operating internal developer platforms, SDKs, or reusable frameworks that standardize how services are built and deployed
Prior experience at a fast-growing startup where you've helped scale infrastructure, processes, and teams
Benefits
Comprehensive Medical, Dental, Vision & Life insurance
HSA (with employer match), FSA, & DCFSA
401(k)
11 Paid Company Holidays
Location Flexibility (Remote-first company!)
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
Company
Rad AI
Rad AI develops software that uses AI to automate radiology report writing, aiming to enhance accuracy and reduce radiologist burnout.
51-200 employees
H1B Sponsorship
Rad AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (7)
2023 (3)
2022 (6)
2021 (2)
Funding
Current Stage
Growth StageTotal Funding
$151MKey Investors
Transformation CapitalKhosla VenturesArtis Ventures
2025-05-20Series C· $8M
2025-01-25Series C· $60M
2024-05-07Series B· $50M
Leadership Team
Doktor Gurson
Co-founder & CEO
Barrett Dwyer
CFO
Recent News
2025-12-05
2025-12-01
2025-11-20
Company data provided by crunchbase