Design and operate SLOs, alerting, and incident response practices to keep clinical services reliable
Build and maintain centralized observability across metrics, logs, and distributed tracing
Design and maintain hardened CI/CD pipelines with security and quality gates, artifact signing, and SBOM generation
Enforce least-privilege access across cloud and Kubernetes environments, replacing long-lived credentials with short-lived, federated access
Implement cloud cost visibility and attribution by service and environment, with budgets and usage guardrails
Partner with backend, frontend, and AI teams to embed reliability and security early in the development lifecycle
Contribute to architectural discussions and decisions related to runtime, security, and delivery
Support on-call rotations with a focus on sustainability and learning

Strong experience operating production systems in the cloud
Hands-on experience with Kubernetes in production environments
Experience building or operating CI/CD pipelines
Solid understanding of cloud security and IAM
Experience with observability tooling across metrics, logs, and tracing
A track record of improving production reliability, not just maintaining it
Nice to have: Experience in healthcare, regulated, or high-reliability environments
Nice to have: Familiarity with FinOps practices and cloud cost optimization
Nice to have: Experience with container security and supply-chain tooling
Nice to have: Experience supporting AI or data-intensive workloads

Join a fast-growing healthcare technology company shaping the future of AI in radiology
Work on meaningful products that improve radiology workflows and support better patient outcomes worldwide
Be part of a mission-driven team that values trust, quality, collaboration, and innovation
Enjoy flexible working hours and a hybrid work arrangement
Competitive compensation and benefits package

Cloud Platform, Reliability & Security Engineer

Key skills