Jobs at Prolaio

Build and operate reliability systems for a cardiovascular data platform, including monitoring, SLIs, SLOs, incident response, automation, and observability. Investigate end-to-end failures across devices, connectivity, mobile applications, firmware, and cloud services. Analyze fleet-level reliability using Python, SQL, and BigQuery; automate manual checks; conduct postmortems; and improve telemetry to ensure complete, trustworthy clinical data delivery.

Leads Prolaio’s enterprise information security and cloud operations strategy for an AI-driven healthcare platform. Owns cybersecurity, continuous compliance, cloud infrastructure, threat modeling, vulnerability management, identity and access management, incident response, vendor risk, and AI security. Establishes security-as-code and automated compliance frameworks supporting HITRUST, ISO, HIPAA, FDA, GxP, and privacy requirements while partnering with engineering, data, clinical, and executive teams.

Lead Prolaio’s enterprise data engineering strategy, architecture, pipelines, cloud data platforms, integrations, governance, and AI-enabled data capabilities for regulated healthcare applications. Build secure, scalable systems supporting clinical, device, patient-generated, research, analytics, and product data. Establish engineering standards for lineage, provenance, lifecycle management, privacy, HIPAA, and auditability. Hire and manage high-performing teams, influence cross-functional architecture decisions, and evaluate data platform vendors and tools.

Leads the strategy, roadmap, and execution of Prolaio’s cloud-native platform engineering capabilities across GCP environments. Owns observability, infrastructure tooling, access controls, data lifecycle management, platform services, automation, governance, and AI-enabled features. Partners with engineering, data, security, quality, product, and clinical teams to deliver secure, compliant, auditable healthcare data platforms. Builds and mentors a high-performing platform engineering organization supporting clinical research, analytics, data science, and enterprise data services.

Design and govern Prolaio's regulated healthcare data platform: define architectures, models, pipelines, and lifecycle management for clinical, device, claims, and patient-generated data; apply healthcare terminologies and common data models; enable secure, interoperable, AI-ready datasets for analytics, research, clinical operations, and regulated workflows.

The Lead Software Quality Engineering, Backend will oversee validation of a cloud-based data platform, lead a team of engineers, and contribute to automation and verification strategies for healthcare technologies.