Interra Health Jobs & Hiring Trends

Interra Health is seeking a Senior Platform Engineer to design, build, and operate secure Azure infrastructure and AI-enabled platform capabilities. The role focuses on applying LLMOps, Infrastructure as Code, and CI/CD practices to enhance developer velocity and operational resilience. Candidates will work hands-on with Terraform, Kubernetes, GitHub Actions, and emerging AI dev tools.

Interra Health is seeking an AI Security Engineer to secure AI models, data pipelines, and AI-enabled healthcare applications. Reporting to the Lead Security Engineer, this hands-on role involves assessing systems for vulnerabilities like prompt injection, building security guardrails, and partnering with engineering teams to embed security throughout the AI development lifecycle.

Interra Health is hiring a Technical Account Specialist to provide front-line support to customers, physicians, and nurses using healthcare software applications. The role involves managing support cases, gathering issue details, utilizing documentation to resolve or escalate technical problems, and coordinating account management. This is a full-time, fully remote position within the United States.

Interra Health is seeking a Senior Implementation Specialist to guide newly signed customers through onboarding, integration, and go-live. In this role, you will manage concurrent implementation projects, drive adoption of pVerify and DoseSpot products, and support API clients. You will also collaborate cross-functionally to refine processes and ensure customer success.

Interra Health is seeking an Implementation Specialist to guide newly signed healthcare customers from post-sale through go-live. In this role, you will manage onboarding project plans, collaborate on technical API integrations, build training materials, and serve as a main point of contact for customer queries.

Interra Health is seeking a Product Owner II to manage backlog strategy, drive release planning, and facilitate agile ceremonies. The role involves writing complex user stories, coordinating technical dependencies with engineering, and leveraging AI tools to optimize product workflows. Candidates should have a strong understanding of system architecture and delivery processes within agile environments.