Quality Assurance Engineer II

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Become a Quality Engineer for Bloomreach! The Data Pipeline team is a backend-focused engineering team that cares deeply about quality and reliability. We believe in autonomy, we trust data, and we own what we ship end-to-end. We move our customers' data in and out of Bloomreach Engagement reliably and at a high rate: Our clients feed their visitors' behavior through real-time tracking to our platform. The data then can be analyzed and used for marketing automation. We process tens of thousands of requests per second . Imports are critical for our clients to utilize our platform to the fullest. We import millions of rows of data and continuously improve the throughput and reliability of our imports and integrations with other data storages. We are also responsible for exporting data from our platform to Google's BigQuery using Google's DataFlows, PySpark and Apache Beam, allowing data access by our clients. We run and support our services in production, handling high-volume traffic using Google Cloud Platform and Kubernetes . Every one of these flows is something our customers rely on being correct, at scale. That is the terrain your testing and automation will cover. You won't be doing this alone: you'll join an experienced Senior Quality Engineer already on the team, so you'll have a buddy to ramp up with, bounce ideas off, and share the quality mission with from day one. We work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. And if you are interested in who will be your engineering manager, check out Adam's LinkedIn . Intrigued? Read on ... What challenge awaits you? As a Quality Engineer in Data Pipeline, you own quality for systems that move huge volumes of customers' data in real time, at scale, across many integrations. This is a backend, data-heavy world: a tracking API on one side, an internal message format and multiple storages on the other, with Kafka, GCP and Kubernetes in between. Guaranteeing quality here means understanding how data flows end-to-end and where it can go wrong. We need you to bring engineering rigor to that quality. Concretely, you will: Own end-to-end and integration testing. Complex data pipelines can behave correctly component by component yet still surprise you end-to-end. You design the tests that validate real behavior across components, so we can ship changes to high-scale integrations with confidence. Build automation that runs repeatedly in CI. Turn testing into automated integration and end-to-end suites (e.g. Robot Framework, API tests) wired into the deployment pipeline, giving engineers fast, reliable feedback on every change. Go deep in the imports domain. Imports are a rich, well-defined area with plenty to reason about. You'll build de