About Cipra.AI
CIPRA.ai provides AI-based precise, personalized and proactive care to treat and reverse chronic conditions like hypertension and diabetes. Developing an individual model of each person, the AI platform identifies the root cause for the individual's chronic disease, and guides them to focus on actions that are most impactful for reversing the disease. Our autonomous, precise and explainable AI-based interactions lead to 90% sustained patient engagement, 3X reduction in the chronic population and 10X improvement in clinician workload.
Job Description
We are seeking a Quality Assurance Engineer to join our fast-growing digital health engineering team. This role is ideal for someone who thrives in dynamic, startup environments and takes strong ownership of product quality across the entire technology stack. You will be responsible for establishing, executing, and continuously improving robust QA processes that ensure the reliability, security, and performance of our cloud backend, mobile applications, and web-based dashboards.
You will work closely with engineering, product, and design teams to embed quality throughout the development lifecycle, from requirements through release and post-deployment monitoring. This position offers the opportunity to define QA best practices for a growing organization and is intended for someone seeking a long-term role with increasing responsibility and impact.
Responsibilities
Own end-to-end quality assurance across the entire product stack, including backend cloud systems, mobile applications (iOS and Android), and web-based dashboards.
Define, implement, and continuously improve robust QA processes and standards that ensure high quality, reliability, and scalability across all components of the platform.
Lead QA efforts for each release cycle, ensuring thorough validation of backend services, mobile apps, and dashboards prior to production deployments.
Perform comprehensive testing of mobile applications, including UI/UX validation, core user flows, edge cases, and visual consistency against design specifications.
Test mobile app performance, stability, and behavior under real-world conditions (e.g., different devices, OS versions, and network conditions).
Validate backend systems and APIs, including data integrity, business logic, authentication, integrations, and error handling.
Ensure seamless interfaces and data flow between mobile apps, backend services, and dashboards through integration and end-to-end testing.
Develop and maintain test plans, test cases, and regression suites spanning manual and automated testing for backend, mobile, and web components.
Collaborate closely with engineering, product, and design teams to review requirements early, ensure testability, and align on quality expectations.
Integrate QA processes and automated tests into CI/CD pipelines to support reliable and repeatable releases.
Perform ongoing regression testing, post-release validation, and monitoring to quickly identify issues and verify fixes.
Clearly document, prioritize, and track defects and quality risks, working with engineering teams to drive timely resolution.
Define and track quality metrics (e.g., defect trends, release readiness, test coverage) to continuously improve overall product quality.
Qualifications
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
3+ years of professional experience in Quality Assurance or Software Testing, with demonstrated ownership of QA processes.
Experience setting up and managing QA strategies and processes for production systems in a fast-paced environment.
Hands-on experience testing backend services (APIs, databases, cloud systems) and front-end applications (web and mobile).
Experience with test automation frameworks and tools for API, web, and mobile testing.
Familiarity with CI/CD pipelines and integrating automated tests into deployment workflows.
Experience using issue tracking and project management tools such as Jira.
Prior experience working in a startup or rapidly scaling environment, with the ability to manage multiple priorities in parallel.
Strong understanding of software development lifecycles, Agile methodologies, and quality best practices.
Excellent attention to detail, analytical skills, and a strong sense of ownership and accountability.
Strong communication and collaboration skills, with the ability to work effectively across engineering, product, and design teams.
