👋 Hi there!

At Flipflow , we're looking for a Senior Backend Engineer to join our core engineering team and help us build and scale one of the most ambitious Retail Intelligence platforms in the market.

This is a deep technical role , for people who genuinely enjoy building software , thinking about architecture, and getting involved not only in code but also in product and business decisions .

If you're excited about complex backend systems, massive-scale data processing, crawling infrastructure and making data flow reliably from collection to client — this role is for you.

🌍 About Flipflow & Our Mission

Flipflow is a Retail Market Intelligence & Digital Shelf Analytics SaaS platform , currently scaling internationally after strong growth in Spain and Latin America.

Since our launch in 2021, our mission has been clear:

To give brands, manufacturers and retailers a real-time, actionable and reliable cockpit and AI copilot to understand their products, competitors and markets — enabling better business decisions.

Retail is facing one of the biggest transformations in its history:

markets are global, competition is intense, and margins depend on data quality, speed and intelligence .

At Flipflow, we believe real-time competitive intelligence is no longer optional — it’s essential.

🎯 Your Challenge & Impact

At Flipflow, every new backend feature is an adventure and a project on its own — most of them genuinely fun if you like hard problems.

We crawl over a billion datapoints per week , process and normalize massive volumes of messy retail data, and turn that into structured intelligence used by global brands.

As a Senior Backend Engineer , your mission is to design, build and evolve the systems that:

• Collect and process massive volumes of raw data with our own crawling infrastructure
• Normalize, relate and enrich millions of products across markets with complex data pipelines
• Power our proprietary BI suite, analytics and AI-driven insights using LLMs and Agents
• Scale reliably as customers, use cases and data volumes grow

You will have a direct impact on product quality, system scalability, data intelligence and Flipflow’s long-term technical foundation .

🧑🏻‍💻 What will you do?

• Design, build and maintain core backend services and APIs — PHP/Laravel as the main framework, with TypeScript, Python and Go across different services.
• Build and operate — ingest data from hundreds of crawled sources, transform and normalize it, and deliver it reliably to our OLAP engine so clients see fresh, accurate data every day.

👤 Your Profile

• 5+ years of experience in Backend, Full-stack or Data Engineering roles.
• Data pipeline engineering — you've built systems that ingest, transform and deliver large volumes of data reliably. Not analytics or dashboards — the plumbing that makes data flow from source to client.
• Event-driven architecture — message queues (Pub/Sub, SQS, Kafka), async job processing, streaming. You've built systems where millions of events flow through multiple stages without losing data.
• Comfortable across the full stack — you don't need permission to jump into a new codebase, language or layer. If it's broken, you fix it. If it needs building, you build it.

⬆️ Nice to Have

• Stream processing (Apache Flink, Kafka Streams) — building and operating real-time data flows, not just consuming them.
• Web scraping at scale — distributed crawling, browser automation, proxy management. You've dealt with the chaos of collecting data from hundreds of sources.
• Kubernetes + IaC (Terraform/OpenTofu) — you can own the deployment, not just the code. Helm, ArgoCD, GCP/AWS.
• OLAP / time-series databases — ingestion, partitioning, performance tuning for analytical workloads.

💥 What We Offer

• 💶 Compensation: Competitive senior-level salary aligned with experience and impact
• 🚀 Real ownership: You will shape core systems, not just implement tickets

🤝 Our Commitment

At Flipflow, senior engineers are builders and decision-makers , not just executors.

We offer:

• Ownership over meaningful technical problems
• Space to design, refactor and improve core systems
• Real-world AI and data challenges
• A strong, ambitious team building something that genuinely matters
• If you want to build the systems that move data at scale , and be part of a company aiming to define a new standard in Retail Intelligence, we'd love to meet you.