Infatica.io is a global provider of proxy and DaaS solutions. We're looking for a hands-on Senior QA Engineer to work across two product lines: our web/SaaS product and our technology platform for scraping, data, and AI. The role combines manual testing, automation, and the development of engineering quality practices.

Key Responsibilities:

Product Testing

* Conduct functional, integration, regression, and smoke testing of web products.

* Test APIs, integrations, and microservice interactions.

* Create and maintain test cases, checklists, and regression suites.

* Write and maintain automated tests in Python and TypeScript/JavaScript.

* Integrate automated checks into the CI/CD pipeline.

* Collaborate with product managers, developers, and designers on implementation quality.

Data, Scraping & AI Product Testing

* Test scraping processes, data pipelines, and distributed services in live environments.

* Test retries, rate limits, partial failures, degradation of external sources, and process recovery.

* Perform load and performance testing of critical services.

* Contribute to automated quality gates and quality metrics.

* Apply AI tools for test generation, log analysis, edge-case discovery, and regression automation.

Requirements

* 6+ years of experience in QA / Quality Engineering.

* Strong hands-on manual testing experience with complex web and SaaS products.

* Test automation experience in Python and TypeScript/JavaScript.

* Solid understanding of API testing, microservices, and distributed systems.

* Experience with CI/CD and Docker.

* Experience with Grafana, Jaeger, OpenTelemetry, or similar observability tools.

* Performance testing experience.

* Comfort working with logs, metrics, and production incidents.

Nice to Have

* Understanding of HTTP, DNS, TLS, proxy networks, caching, queues, retries, and rate limiting.

* Experience testing scraping, data platform, or high-load API products.

* Experience with Kubernetes.

* Experience integrating automated tests into CI/CD pipelines.

* Practical experience using AI in test automation.

* Experience with SLI/SLO.

* Experience testing AI functionality, eval pipelines, or golden datasets.

What Matters for This Role

We're looking for a self-driven engineer who's equally comfortable testing a product by hand, writing automated tests, digging into architecture, logs, and pipelines, and systematically improving product quality — without moving into people management.

Benefits

* Remote work flexibility

* High autonomy in shaping testing processes and quality practices

* Work on both a SaaS product and a cutting-edge scraping/data/AI platform

* Competitive compensation package

Join Us

If you enjoy owning quality end-to-end — from manual exploratory testing to automation and production diagnostics — and want to work across both a web/SaaS product and a high-load data platform, we'd love to hear from you.