Remote Senior Fullstack Engineer; Python & React; m​/f​/d

About Room Price Genie

Founded in 2017, Room Price Genie  is dedicated to helping hoteliers around the globe achieve optimal pricing. We understand that many small hotels face challenges with digitalization, making their operations increasingly complex and often resulting in lost revenue. This is where we come in!

We have developed a powerful solution that enables hotels to set the right prices in just seconds. Our state‑of‑the‑art algorithm analyzes both internal hotel data and market trends to recommend pricing strategies that enhance revenue and improve booking rates.

With customers spanning the globe—from the USA and Canada to Iceland, South Africa, China, Slovenia, Italy, and the UK—Room Price Genie  has made a meaningful impact in the hospitality industry, and our clients love the results.

Now, we are excited to expand our customer base and spread the word about how we can support hoteliers in optimizing their pricing strategies. We invite you to join us on this journey! We actively encourage applications from candidates with diverse backgrounds to enrich our team and drive innovation.

We're a company that takes both culture and product seriously, and we have the recognition to back it up:
Best Place to Work in Hotel Tech (2026) and Best Revenue Management Software (2026). We operate at real scale, powering pricing for thousands of hotels worldwide on a modern data stack (Snowflake, Databricks, Dagster, dbt, AWS). We give engineers real ownership and autonomy, with support always there when you need it. This role is fully remote within Europe, and you'll be helping disrupt a traditional industry while making a tangible impact on how hotels run their business.

As a Senior Fullstack Engineer in our Customer Journey team at Room Price Genie , you’ll build the systems that power user activation, engagement and long‑term success.

You’ll focus primarily on backend development using Python/Django
, owning features end‑to‑end, from design and implementation to testing and deployment. But your impact will extend beyond the backend: you’ll collaborate closely across the stack, occasionally working in our React/Typescript frontend.

You’ll operate with high autonomy, combining technical excellence with product awareness, and you’ll play a key role in helping us evolve a scalable, data‑informed, growth‑driven product.

• Design, build and maintain robust backend services and APIs using Python/Django.
• Build, contribute to and maintain our frontend web application using Typescript / React.
• Take end‑to‑end ownership of projects, from problem discovery to deployment, monitoring, and iteration.
• Write clean, maintainable and well‑tested code, applying modern testing practices across unit, integration and functional layers.
• Collaborate across disciplines (Product, Data, Design, and Frontend) to deliver full, measurable outcomes.
• Ensure data quality, observability and performance in systems that feed our analytics and growth experiments.
• Participate in architecture reviews, technical discussions and mentoring, helping elevate our engineering standards.
• Drive continuous improvement in how we design, test, deploy and monitor our applications.

• Solid professional software engineering experience, with deep backend expertise.
• Experience in a high‑growth or scaling company is a strong plus. You’re comfortable navigating ambiguity, driving clarity and helping teams adapt as the organization evolves.
• Advanced proficiency in Python / Django.
• Experience with Typescript / React.
• Strong grasp of software design principles, testing and scalable architecture.
• Practical experience with CI/CD, AWS and modern monitoring / observability tools.
• A product‑minded engineer who understands trade‑offs, user needs, and impact‑driven development.
• High ownership mentality, you see projects through from idea to measurable results.
• Excellent communication skills, fluency in English, and collaboration mindset.
• Based in the European time zone (UTC+0 / UTC+2).

• Experience with:
• Snowflake, Airflow, dbt, dragster, cube or similar data tools.
• Event‑driven architectures (e.g., Kafka, Celery).