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Job Description
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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!
Position Duties and responsibilities:
- 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
What you bring!
- 8+ years of experience in engineering with demonstrated technical leadership
- Bachelorās 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
Preferred:
- Experience with AWS GovCloud
- Experience with compliance frameworks (e.g., FedRAMP, HIPAA, SOC 2, NIST 800-53, ISO 27001)
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RapidAI
View Company ProfileRapidAI (operating at rapidai.com) is an enterprise clinical AI platform engineered for healthcare providers seeking to accelerate diagnostic precision and streamline patient care. Founded in 2012 and headquartered in San Mateo, CA, RapidAI specializes in AI-driven medical imaging analysis, transforming how clinicians interpret critical scans like CT and MRI. Unlike traditional imaging tools that rely solely on human expertise, RapidAIās platform integrates deep learning algorithms to detect conditions such as stroke, pulmonary embolism, and aortic dissection with high accuracyāoften in real time. Under the hood, its proprietary AI models, trained on vast datasets, analyze imaging data to highlight abnormalities, generate actionable insights, and even suggest treatment pathways. This empowers radiologists and emergency responders to make faster, more confident decisions, reducing diagnostic delays and improving patient outcomes. Trusted by over 2,500 hospitals across 100+ countries, RapidAI has raised $100 million in funding, including a $75 million Series C round led by Vista Credit Partners and a $25 million Series B round from Lennertz & Co.
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