Company Overview

At Loris, we’re transforming customer experience with AI-driven insights, and we want you to be a part of our high-growth journey. Recently named a ‘Cool New Vendor’ by Gartner, we’re a fast-growing, well-funded startup empowering CX leaders to turn conversations into game-changing business intelligence.

About the Role

We're looking for a passionate and experienced Backend Engineer (Data Integrations) to join our growing R&D team and play a key role in shaping the way customer data powers Loris. In this role, you'll take ownership of designing, building, and maintaining scalable and reliable data ingestion pipelines that connect our platform with external systems such as CRMs, support tools, and future data sources.

Your work will directly impact the quality of insights our AI generates — the better the data, the better the outcomes. You'll collaborate closely with Product, Data Science, and CX teams to ensure that the data flowing into our platform is complete, accurate, and enriched with the metadata needed to drive our product experience.

This is a high-impact role with a mix of technical depth, product thinking, and the opportunity to shape core infrastructure at a company that’s scaling fast. We're looking for someone who thrives in a startup environment, takes initiative, and is excited to solve complex engineering challenges that fuel our growth.

Responsibilities

• Own the architecture, development, and maintenance of backend services that ingest and normalize data from external systems (e.g., Salesforce, Zendesk, Intercom, Five9, etc.)
• Build resilient and scalable ETL/ELT pipelines for data ingestion
• Collaborate with product and data science teams to understand use cases and define integration requirements
• Monitor and debug data pipeline issues in production environments
• Drive technical excellence in how we structure, test, and document ingestion code
• Stay current with API changes, rate limits, and other nuances of third-party platforms

Requirements

• 4+ years of backend development experience (Python strongly preferred + experience)
• Excellent communication skills – able to collaborate across engineering, product, CX, and occasionally with external clients
• Deep experience working with APIs, webhook-driven architectures, and third-party integrations
• Experience building and operating scalable ETL pipelines
• Solid experience with PostgreSQL or other relational databases
• Strong troubleshooting skills with the ability to identify and resolve issues in production data pipelines, including experience with logging, monitoring, and debugging in cloud-native environments (e.g., AWS)
• Product mindset – ability to translate ambiguous product needs into reliable engineering systems