In this role, you will have a deep understanding of systems, data structures, modern scripting and enterprise level languages as well as open source tools that can and should be leveraged to solve problems.
The Productivity Engineering Work Study participant is responsible for data collection and assists in the development of engineered methods and standards in a high volume mechanized distribution and logistics operation.
In this role, the selected candidate will collaborate with engineers across the Digital Innovation team to create technical designs, develop, test and solve complex problems that drive the solution from initial concept to production.
In this role, the selected candidate will integrate systems using a wide variety of protocols like REST, SOAP, MQ, TCP/IP, JSON and a number of others; create automated tests that easily plug into our automated code pipeline.
In this role, you will be responsible for collaboration with product development technicians, formulators and scientist to ensure continuous improvement, continuity of experience, troubleshooting skills, and scientific knowledge.
The Cloud Operations Engineer position is responsible for deploying and supporting a private development cloud (compute, storage, and networking) with an emphasis on OpenStack as well as documenting team operations and provide run books to the Command Center.