Qu-posted 3 months ago
101-250 employees

At Qu you will be responsible for overseeing remote, nearshore, and offshore engineering teams, fostering a culture of collaboration and innovation. You will define and conduct performance reviews based on clear metrics and goals to ensure team accountability and growth. Additionally, you will set clear career paths and growth opportunities for team members, aiding in their professional development. Implementing strategies to maintain high retention rates within the team by ensuring a positive work environment and employee satisfaction will also be part of your role. You will own and advocate for best practices in software development to enhance productivity and quality of work. Ensuring seamless communication within teams and with stakeholders to maintain alignment on project goals and company objectives is crucial. You will actively participate in the hiring process, from identifying resource needs to conducting interviews and making strategic team allocations. Reviewing and understanding code, providing insights on technical solutions, and explaining software implementations to ensure high standards are met will be expected. You will partner with DevOps and QA teams to implement tools and workflows for tracking data pipeline health, latency, and user-facing API availability. Ensuring that data is properly tagged, stored, and reported according to business logic and privacy requirements is essential. You will also develop engineering talent with a strong focus on data engineering, analytics, and backend systems, and collaborate closely with product managers to define, plan, and deliver features related to Enterprise Intelligence dashboards and backend reporting logic.

  • Oversee remote, nearshore, and offshore engineering teams, fostering a culture of collaboration and innovation.
  • Define and conduct performance reviews based on clear metrics and goals to ensure team accountability and growth.
  • Set clear career paths and growth opportunities for team members, aiding in their professional development.
  • Implement strategies to maintain high retention rates within the team by ensuring a positive work environment and employee satisfaction.
  • Own and advocate for best practices in software development to enhance productivity and quality of work.
  • Ensure seamless communication within teams and with stakeholders to maintain alignment on project goals and company objectives.
  • Actively participate in the hiring process, from identifying resource needs to conducting interviews and making strategic team allocations.
  • Review and understand code, provide insights on technical solutions, and explain software implementations to ensure high standards are met.
  • Partner with DevOps and QA teams to implement tools and workflows for tracking data pipeline health, latency, and user-facing API availability.
  • Ensure that data is properly tagged, stored, and reported according to business logic and privacy requirements.
  • Develop engineering talent with a strong focus on data engineering, analytics, and backend systems.
  • Collaborate closely with product managers to define, plan, and deliver features related to Enterprise Intelligence dashboards and backend reporting logic.
  • Bachelor’s degree in Computer Science, Software Engineering, or related field.
  • At least 5 years of management experience with remote teams, including handling teams across different cultures and time zones.
  • Strong background in agile development practices.
  • Proven people management skills, with the ability to motivate and lead a team effectively.
  • Excellent communication skills, both verbal and written.
  • Significant experience coaching diverse groups of people within software development teams.
  • Experience with modern production logging, monitoring, and alerting tools.
  • Experience with .NET development.
  • Proficiency in AWS cloud services.
  • Familiarity with Azure DevOps tools.
  • Background in restaurant, retail, or POS ecosystems and familiarity with store group hierarchies, check data, or tag-based filtering.
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