Senior Backend Engineer - Python
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Job description
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, hearts. Other benefits tailored to each country. Equity and Privacy Statement 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
Requirements
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, or allyship to connect, support one another, and passionately advocate for the issues close to their