Software Engineering Manager - Data Team

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))

Technology

Remote (United States)

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