Design, build, and operate resilient AWS cloud infrastructure, Kubernetes platforms, CI/CD pipelines, and infrastructure-as-code modules in a regulated medical-device environment. Improve security, scalability, performance, cost efficiency, deployments, and operational support. Collaborate with Engineering, QA, IT, and Security teams while troubleshooting distributed systems and providing technical leadership across global teams.
RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare.
We are looking for a DevOps Engineer to be at the forefront of medical device software development to help deliver the best patient care around the world.
How you help us grow!
- Leverage AI coding tools (e.g., Claude Code, Codex, Copilot) to design, build, and operate infrastructure and automation, review PRs, troubleshoot systems, enhance deployments and support procedures
- Design, build, and manage cloud infrastructure and delivery platforms with a focus on resilience, security, performance, and scalability
- Operate and improve Kubernetes-based platforms and the surrounding ecosystem to support microservice workloads
- Implement infrastructure as code with reusable, tested, peer-reviewed modules
- Build and maintain CI/CD pipelines in a regulated environment
- Architect and operate AWS environments, including networking, security controls, and cost optimization
- Collaborate with Engineering, QA, IT, and Security as the point of contact for infrastructure, deployment, and operability design
Position Duties and responsibilities:
What you bring!
- 8+ years of experience in engineering with demonstrated technical leadership
- Bachelors’ Degree in CS or relevant fields
- Experience using AI coding tools (Claude Code, Codex, GitHub Copilot) for infrastructure, automation, and troubleshooting
- Strong experience with Kubernetes and its ecosystem (e.g., EKS, Helm, Argo CD/Flux, Prometheus/Grafana)
- Strong working knowledge of AWS cloud services
- Proficiency with Terraform and/or CloudFormation
- Experience with CI/CD using GitHub Actions and/or Jenkins
- Solid networking knowledge (TCP/IP, DNS, TLS, load balancing, VPC design, VPN)
- Experience with AWS security tools (e.g., IAM, KMS, GuardDuty, Security Hub, Config, CloudTrail)
- Proficiency in a scripting or programming language (e.g., Python, Bash, Go, JS)
- Troubleshoot issues effectively in a distributed architecture
- Strong decision-making ability and the ability to support multiple teams
- Great communication skills with technical and non-technical teams in a global environment across time zones
- Experience with AWS GovCloud
- Experience with compliance frameworks (e.g., FedRAMP, HIPAA, SOC 2, NIST 800-53, ISO 27001)
Preferred:
- Citizenship / Status: Due to U.S. Department of Veterans Affairs (VA) contract requirements, applicants must be a U.S. Citizen or a Lawful Permanent Resident (Green Card holder).
- U.S. Residency Requirement: Per federal investigation standards, non-U.S. citizen candidates must have lawfully resided in the United States for a minimum of three (3) consecutive years prior to application.
- Background Investigation: Candidates must be able to successfully initiate, pass, and maintain a favorable VA background investigation (e-QIP / eApp, including fingerprinting/SAC and Tier 1 or Public Trust suitability adjudication) to obtain a VA PIV card and access VA networks.
- Visa Sponsorship: Candidates must be currently authorized to work in the United States without restriction. We are unable to provide visa sponsorship (now or in the future) for this position.
RapidAI is committed to creating an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please review our CPRA policies here.
For more information on the information we collect about our applicants and how we use it, see our CPRA Privacy Notice here.
RapidAI San Mateo, California, USA Office
San Mateo, CA, United States
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