Senior Python Software Engineer

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 AI — 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.

We are seeking a dedicated Senior Python Backend Software Engineer to join our Analytics team and take ownership of some of our most complex and business‑critical backend systems.

You will work on features like multi‑cloud data exports, data expiration, and analytics CRUD for reports, segmentations, and funnels. These systems sit at the heart of our analytics platform, handle large volumes of customer data, and require solid computer science fundamentals, strong Python engineering skills, and real‑world experience with distributed systems.

The team operates remotely within the Central European Time Zone (CET). We are happy to meet you in Brno, Prague (Czechia) or Bratislava (Slovakia), where our headquarters are located. Salary ranges from 4,000 EUR gross/month, depending on your seniority.

Responsibilities
1. Design, develop, maintain, and test Python backend services and modules that power expor
2. Own and evolve multi‑cloud export pipelines that integrate with AWS S3, Google Cloud Storage, Azure Blob Storage, and SFTP, with a strong focus on resilience, observability, and performance.
3. Des