Senior Backend Engineer - Python

Be among the first 25 applicants. Senior Backend Engineer - Python Location: Barcelona | Employment type: Full-Time | Remote: Possible About Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone that cares about digital journeys. With our flexible and scalable platform, you quickly get a deep understanding of your customers' whole online journey. Our AI-powered insights provide those "ah ha" moments you need to deliver the right digital experiences. You get to work faster and smarter, with the confidence to know what to do next to improve. Leading brands use Contentsquare to grow their business, deliver more customer delight and move with greater efficiency in a constantly changing world. Our insights are used to optimize the experience on over 1.3 million websites worldwide. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're looking for team members who are excited to

drive impact and help us scale even further. We aim to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. This position is part of the Loris team, at an exciting inflection point following its recent acquisition by Contentsquare. We're scaling our Israeli R&D hub and expanding our impact across the customer experience analytics space. Our technology combines proprietary AI with cutting-edge LLMs to help the world's leading brands understand and improve every customer interaction, from uncovering intent and sentiment to identifying opportunities for growth and efficiency. You'll be joining a small, highly skilled team of experienced engineers who thrive on solving hard problems and owning them end-to-end. We work in tight, product-focused squads and operate with a culture of deep ownership, autonomy, and technical excellence. This is a rare opportunity to shape meaningful systems at the intersection of SaaS, data, and AI - using both in-house models and state-of-the-art LLMs - and see your work deliver direct impact to customers. What you'll do * Design, build, and maintain backend services and APIs that power Loris's conversation intelligence platform. * Integrate machine learning models into production, ensuring they are reliable, performant, and easy to update. * Collaborate closely with product managers, designers, and data scientists to ship impactful, user-facing features. * Own the architecture, development, and maintenance of backend services that ingest and normalize data from external systems (e.g., Salesforce, Zendesk, Intercom, Five9). * Build resilient and scalable ETL/ELT pipelines for data ingestion and enrichment. * Stay current with API changes, rate limits, and other nuances of third-party platforms. * Collaborate with cross-functional teams to define requirements and deliver high-quality, scalable systems. * Write clean, maintainable code and participate in design reviews and architecture discussions. * Monitor production environments, debug complex issues, and drive performance improvements. What we're looking for * 4+ years of backend development experience in production systems. * Strong proficiency in Python (FastAPI, Flask, or Django preferred). * Experience working on SaaS products at scale, including reliability, monitoring, and deployment best practices. * Solid understanding of cloud infrastructure (preferably AWS) and containerization (Docker, Kubernetes). * Experience with APIs, third-party integrations, and/or ETL/ELT pipelines. * Strong troubleshooting skills and familiarity with observability practices (logging, monitoring, debugging in cloud-native environments). * A product mindset: you care about the "why," not just the "how." * Demonstrated ownership: you follow through, debug in production, and care about outcomes. Nice to have * Experience with ML/AI systems, LLMs, or data/analytics pipelines. * Previous experience in remote-first, cross-functional teams. * Familiarity with streaming systems (Kafka, Kinesis, etc.) or large-scale data processing frameworks. Benefits * Virtual onboarding, hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year. * Work flexibility: hybrid and remote work policies. * Generous paid time-off policy (every location is different). * Immediate eligibility for birthing and non-birthing parental leave. * Wellbeing and home office allowances. * A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work. * Every full-time employee receives stock options, allowing them to share in the company's success. * Multiple Employee Resource Groups that offer a safe space for individuals who share common identities, life experiences