Prescryptive Health
Jobs at Prescryptive Health
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Recently posted jobs
Healthtech • Information Technology
Lead technical strategy and architecture across teams, resolve cross-system issues, mentor engineers, participate in on-call rotations, build production-grade full‑stack software, and ensure scalability, reliability, security, and cost-efficiency of cloud systems.
Healthtech • Information Technology
Design, build, deploy, and operate backend services, APIs, integrations, and web applications. Own end-to-end features, improve CI/CD and observability, troubleshoot cross-service issues, participate on-call, and collaborate with product and leadership to deliver reliable production systems.
Healthtech • Information Technology
Lead an engineering domain (Consumer, B2B, or Backend), owning technical direction, delivery, system health, architecture, and team development. Translate business needs to technical plans, manage cross-team dependencies, ensure production readiness and incident response, and hire and mentor engineers to deliver scalable, reliable software.
Healthtech • Information Technology
Lead administration, tuning, backup/recovery, and troubleshooting for SQL Server, PostgreSQL, and MongoDB. Implement observability with Datadog, build dashboards and alerts, define SLIs/SLOs, and collaborate with engineering to ensure database reliability, scalability, and performance across environments.
Healthtech • Information Technology
Lead writing and editing of complex PBM RFPs for enterprise employers and consultants. Translate pricing, rebate, and clinical offerings into clear, persuasive responses. Manage multiple RFPs, ensure compliance and quality, coordinate cross-functional inputs, and maintain proposal templates and libraries to improve efficiency and win readiness.
Healthtech • Information Technology
Lead design and implementation of Snowflake-centered cloud data platform and scalable ETL/ELT pipelines. Build data models, ensure governance/HIPAA compliance, optimize performance and costs, create Power BI reports, mentor engineers, migrate legacy systems, and enable analytics and AI/ML initiatives through robust data integration, testing, CI/CD, and security practices.



