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.
We are seeking an exceptional Engineering Manager to lead our Data Platform team and drive the evolution of our enterprise-grade data infrastructure. You'll manage a dedicated scrum team responsible for our Data API - the critical gateway that brokers external access to our multi-tenant MongoDB platform serving restaurant chains globally. This role requires a unique blend of deep technical expertise in high-performance data systems and proven leadership of remote engineering teams.
At Qu you will:
- Provide Data Platform Leadership - Lead the Data scrum team responsible for our external-facing Data
API that serves as the primary interface between clients and our multi-tenant MongoDB
infrastructure - Drive architecture decisions for scalable data ingestion pipelines, real-time
processing, and analytical APIs serving millions of restaurant transactions - Own the technical
roadmap for data platform evolution, ensuring performance at scale across diverse client types
(web applications, on-premise systems, POS/Kiosk devices) - Develop High-Performance Systems - Oversee development of APIs and data services
powering real-time operations and historical reporting across Qu's restaurant intelligence
platform - Ensure sub-second response times and 99.9%+ availability for mission-critical
restaurant operations data - Guide technical architecture for complex multi-tenant data scenarios
with strict isolation and performance requirements - Drive Remote Team Excellence - Manage distributed engineering teams across multiple time zones
with precision and accountability - Implement rigorous development practices, code review
processes, and performance metrics for remote collaboration - Drive technical mentorship and
career development for data engineers specializing in MongoDB, AWS, and high-throughput API
development - Oversee Technical Integration & Governance - Collaborate across 7 scrum teams to ensure seamless
data flow between Core Services, Cloud Applications, and On-Premise systems - Define and
enforce API governance standards for external data access, ensuring security, performance,
and usability - Partner with DevOps teams to implement comprehensive monitoring using
OpenTelemetry, ElasticAMP, and CloudWatch
What we're looking for:
- Leadership & Management - 5+ years managing remote engineering teams, with demonstrated success in high-precision, distributed work environments - Proven track record leading teams building production data APIs serving 10M+ requests/day - Experience managing engineers across different cultures and time zones with measurable delivery outcomes
- Technical Expertise - Deep hands-on experience with MongoDB at scale, including sharding, replica sets, and performance optimization - Extensive background in building high-throughput REST APIs and data processing pipelines on AWS - Strong understanding of multi-tenant architecture patterns and data isolation strategies - Experience with real-time data systems and sub-second latency requirements
- Data Platform Experience - 3+ years leading teams building enterprise data platforms or analytics APIs - Proven experience with data modeling, query optimization, and cloud-based data pipelines (AWS preferred) - Understanding of restaurant/retail POS ecosystems, transaction data, and operational reporting requirements
The pay range for this role is:
140,000 - 160,000 USD per year (Remote (United States))