Description
**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.