Software Quality Engineering

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

The Overview

The Backend Software Quality Engineering Lead will oversee and actively contribute to the validation and verification of our cloud-based data platform. In this role, you will act as a true player-coach—balancing technical leadership, team mentorship, and direct individual contribution. You will be responsible for the integrity of our high-volume data pipelines and backend services, leading a small team of automation test engineers while also contributing to test case automation and executing test strategies.

This role is ideal for a technical leader who wants to guide a team and handle management responsibilities, but prefers to remain an active contributor rather than stepping into a pure management role. You must be ready to quickly adopt existing automation frameworks, identify opportunities for optimization, and drive the requirements-gathering process to ensure clinical safety in a Software as a Medical Device (SaMD) environment.

The Specifics

• Hands-on Leadership & Mentorship: Lead, coach, and mentor a team of backend automation engineers by example. You will handle light management responsibilities (defining roadmaps, professional development) but will split your time between leadership and active technical contribution (writing test code, reviewing PRs, and executing tests).
• Active Framework Evolution: Quickly master and directly contribute code to our existing backend test frameworks. You will be hands-on in maintaining, scaling, and optimizing these tools, ensuring they remain performant as our cloud infrastructure evolves.
• Requirements Engineering: Act as a collaborative bridge between Product, Engineering, and Regulatory teams. You will use your experience to translate complex clinical needs into actionable, testable verification plans, actively writing test cases that ensure full feature coverage.
• Data & Analytics Validation: Design and execute strategies to validate large-scale analytical data warehouses and NoSQL storage layers (e.g., BigQuery, Cassandra). You will be personally responsible for verifying the accuracy of complex datasets, specifically focusing on the precision of time-series data.