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.
Requirements
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.
