Senior Backend Engineer

March 8

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Qu POS

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Qu POS is a technology company that provides a unified commerce platform for quick service and fast casual restaurant chains. Their platform integrates point of sale (POS), online ordering, drive-thru kiosks, and third-party marketplace connections to create seamless on- and off-premise ordering experiences. This enables restaurant operators to manage multi-channel and menu ecosystems efficiently, enhancing brand loyalty and operational accuracy. By leveraging data-rich insights, Qu POS aims to revolutionize restaurant commerce by moving operations into the digital age, focusing on scalability and growth.

Restaurant & Hospitality Point of Sale • Restaurant Analytics • Restaurant Software • Fast Casual • Quick Service Restaurants

51 - 200 employees

☁️ SaaS

🏢 Enterprise

🛒 Retail

📋 Description

• At Qu you’ll find a fun, dynamic, and diverse culture that celebrates team and individual success. • Our people are down to earth, trail blazin’ folks who value innovation. • While mostly virtual, we collaborate closely to produce leading-edge software solutions much needed in the restaurant industry. • At Qu you will: Lead the end-to-end development of scalable APIs and backend services, overseeing design, testing, deployment, optimization, and monitoring. • Work across our diverse tech stack (Python, FastAPI, PostgreSQL, AWS (ECS, RDS, Redshift, S3, SQS, SNS, Lambda, Kinesis, Timestream, IoT Core) to build robust systems. • Have an impact on product development by making critical technical decisions, shaping system architecture, and refining development practices. • Identify and resolve performance, scalability, and security challenges by proactively proposing and implementing robust solutions. • Collaborate with product, firmware, and data science teams to align technical execution with customer needs and company vision, while mentoring peers and leading code reviews.

🎯 Requirements

• 5-8+ years hands-on experience in backend software development, preferably in a startup environment. • Expertise in backend frameworks (FastAPI, Django, Flask) and Python. • Proven track record designing, shipping, and monitoring scalable software, with hands-on experience in AWS (RDS, SNS, SQS, Lambda) and with containerized deployments (ECS), thriving in a build-it-and-run-it culture. • Demonstrated proficiency working with high-scale, data-centric systems and real-time streaming technologies (AWS Kinesis, Kafka, or similar). • Strong SQL skills and practical experience with ORM tools to manage complex database interactions. • Experience with cloud automation and infrastructure as code (IaC) tools like Terraform. • Clear, effective communication skills, with proven experience working across multidisciplinary teams (including data scientists and ML/AI engineers) and mentoring others. • Experience in fast-paced environments, with the ability to navigate ambiguity, take ownership of projects, and—most importantly—get things done.