Senior QA Automation Engineer

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.