Senior Backend Engineer - Python

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.

We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.

Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.

Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog.

This position is part of the Loris team. Loris is 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.

We’re hiring experienced Backend Engineers to help scale the Loris platform as we grow our data and product capabilities.

What you'll do:
• Application Squad
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.
• Data Connect Squad
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.
• Across both squads, you’ll:
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:
• 6+ 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.

Why you should join Contentsquare
We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we’re aligned with the employees' needs.

Here are a few we want to highlight:
- 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)
- Lifestyle allowance
- 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
- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
- And more benefits tailored to each country

Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here.

Your personal data will be securely stored in our hosting provider’s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.

Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.