Employment Type: Full-time Location: Remote Language: English (Fluent/Spoken)
At Flyaps, we are looking for an experienced Python SDET / Quality Automation Engineer to lead the quality automation strategy for one of our key client projects.
About the Project: The project is a sophisticated, data-heavy SaaS platform focused on urban planning, scenario modeling, and interactive visualization of geospatial data. The product combines complex mathematical models, high-volume spatial data, and a robust backend.
What You’ll Own:
Design and implement from scratch an automated testing framework spanning data processing, backend services, and critical end-to-end (E2E) user journeys.
Create representative test datasets and fixtures that cover realistic spatial data anomalies and edge cases.
Build integration and contract tests for data ingestion, processing pipelines, APIs, and dataset access.
Test organizational boundaries, multi-tenant permissions, sharing settings, and dataset-version compatibility.
Establish release checks and smoke tests for customer and demo environments to provide clear evidence of deployment readiness.
Improve test reliability, optimize execution time, and enhance failure diagnostics and reproducibility.
Collaboratively introduce stronger engineering practices within a small development team, helping application developers design testable software.
What We’re Looking For:
6+ years of experience in test automation, building and maintaining frameworks for production-grade software (Senior / SDET level).
Strong programming skills in both Python AND TypeScript/JavaScript (you must be comfortable working across both ecosystems).
Excellent SQL skills with hands-on experience validating complex data transformations and backend behavior.
Proven experience with API testing, integration testing, browser automation, and CI/CD pipelines.
Familiarity with tools like pytest, Jest/Vitest, and Playwright is highly desirable.
Ability to investigate complex failures across application code, databases, processing jobs, and infrastructure.
Excellent spoken and written English (Fluent/Advanced). You will be communicating daily with an international team, so being able to discuss technical architectures and present ideas clearly is a must.
Good engineering judgment about what to test, at which layer, and how to keep the test suite maintainable as the product evolves.
Nice to Have:
Experience working with geospatial / GIS data.
Experience testing data-intensive SaaS products, numerical applications, or multi-tenant architectures.
What We Offer:
A true “Greenfield” opportunity to build a QA architecture from scratch for a technologically complex and impactful product.
Fully remote work model with flexible hours within European time zones.
Professional growth in a high-engineering-culture team with zero corporate bureaucracy.
Competitive compensation package based on your skills and experience.
