Jobs at Heidi Health

Lead backend feature implementation for a healthcare AI SaaS: design and deliver scalable Python services, optimize data storage, manage cloud infrastructure and message queues, build and secure high-performance APIs, integrate third-party systems, and collaborate with frontend and AI teams to ship production-grade, tested systems.

Operate and improve production platform reliability: participate in on-call and incident response, manage Kubernetes and cloud infrastructure, enhance observability, automate toil, maintain runbooks, and collaborate with engineering teams to reduce incidents and improve operational readiness.

Provide end-to-end technical support for Heidi's AI healthcare product: triage and resolve escalated customer issues via chat, email, and phone; debug complex problems; monitor system health; collaborate with engineering and product teams; and drive process and tooling improvements to prevent recurring incidents.

Embed with enterprise health customers to deploy and maintain Heidi: own end-to-end onboarding (EMR integrations, SSO/SCIM, data pipelines), build custom clinical workflows in code, debug production issues, automate deployments, train customers, and feed field insights to Product and Engineering.

The Senior Software Engineer will develop systems that integrate AI within clinical workflows, ensuring seamless support for healthcare professionals while managing complex requirements and ensuring code quality.

The Software Engineer will build seamless AI systems for UK healthcare, focusing on integrating with EHRs and simplifying complex workflows while ensuring quality and trust in the code.