Manager, Software Engineering (Distributed Systems)

Meet the Team

At Staples our Digital Solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners, and deliver reliable, customer-centric technology services. If you want to be on the front lines, driving one of the greatest technology transformations of the 21st Century, you should join our team!

Inventory Management engineering teams enable scalable, efficient, and intelligent inventory management, third-party selling, and 3PL services through our expertise in business domains and technologies. We are currently taking a platform transformation approach to consolidate, modernize, and simplify legacy applications by standardizing interfaces, building micro-services, and/or integrating with 3rd party software that'll effectively reduce tech debt and vendor footprint, and improve time to market and service levels.

Your Role

We are looking for a dynamic engineering leader to help reimagine our engineering teams and the systems from the ground up. The Software Engineering Manager of Distributed Systems will primarily focus on 6 core pillars of the engineering management i.e., People, Execution, Technology, Engineering, Delivery, and Innovation.

Qualifications

The Skills You Bring

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  
• 12+ years of professional software engineering experience, including management of team and direct staff.
  
• Prior experience in building greenfield software products – inception to launch and beyond.
  
• Servant-leader who has built autonomous teams and grew the teams to operate at scale.
  
• Excellent programming skills and computer science fundamentals (OO Design, data structures & algorithms, problem solving)
  
• Experience building applications on one or more public Cloud Platform (e.g., Azure, AWS, or GCP)
  
• Experience designing and implementing highly reliable, fault-tolerant distributed applications with a heavy emphasis on low-latency and scale
  
• Demonstrated success in designing large scale big data systems that perform complex event processing.