Jobs at Prolaio

Manage Prolaio’s full contract lifecycle, including drafting, reviewing, negotiating, processing, execution, renewals, and terminations. Track obligations, deadlines, risks, and performance metrics; support CLM implementation and process improvements; and serve as a contracting liaison to business leaders, vendors, consultants, clinical sites, and partners. The role also provides contract guidance, supports strategic initiatives, and ensures compliance with laws, regulations, and internal policies.

Design, build, and operate batch, streaming, and hybrid data pipelines in a regulated healthcare environment. Develop dbt models in BigQuery, ingest structured and unstructured clinical data, and implement data quality, lineage, governance, and compliance controls. Support ML workflows, CI/CD, monitoring, incident response, and platform architecture. Collaborate with data scientists, clinical, quality, security, and product teams while mentoring engineers and establishing standards.

Develop and automate comprehensive tests for data pipelines, ETL/ELT processes, and cloud data platforms. Validate data quality, transformations, performance, scalability, and time-series biosensor outputs. Build synthetic datasets that replicate production data, identify anomalies and bottlenecks, and improve testing frameworks. Collaborate with data engineers and scientists to ensure reliable data throughout the lifecycle supporting regulated software-as-a-medical-device products.

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.

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.