At Zebra, we’re reinventing how businesses operate at the enterprise edge - helping them run faster, smarter, and more connected than ever before.
A dynamic community of builders, doers and problem solvers, we each play a unique role - shaping new technologies, bringing solutions to market, and partnering with companies on the front line of business.
Being a part of Zebra means making your mark as we make digital transformation a reality.
It means growing into a leader at a leading company that makes a distinct difference - because together, we’ve only just begun.
Calling all Changemakers.
Zebra is waiting for you.
Join us as we transform the edge of the enterprise.
Want to develop cool technology that helps our clients make smarter decisions?
As a member of the Enterprise Intelligence Software business unit, a high-growth, incubator business backed by the financial strength of Zebra Technologies, you will be instrumental in building new breakthrough products.
Our motto is “Have Fun At Work” and we want employees who enjoy what they do. We collectively work together to drive our business forward and need collaborative individuals to join us and be instrumental to our success. Inspired? Motivated?
Think you can do it? Come join us!
The new member will be part of a Software in Test team, working on frameworks to test, monitor and evaluate services and platform created in the enterprise software division. This team is using the latest technologies to develop those solutions like Kafka, Kafka Streams, Machine Learning, Cassandra, HazelCast, MongoDB, Docker, Kubernetes. The team will also be tasked to push the boundaries of automation testing using the latest methodologies such as machine learning for dynamics test augmentation and generic algorithm for test generation.
In other words, build things to break other things!
Working within a multi-functional, Agile working environment, performs all roles in managing, crafting, automating, and improving non intrusive test frameworks. Understands automation technology and how it is best applied to reach a continuous deployment, continuous automation goal. Builds automation frameworks capable of operating solutions with minimal manual maintenance.
Education: Bachelor's or Masters degree in an appropriate engineering discipline required
Work Experience: Bachelors degree and 5+ years experience or Masters degree and 3+ years of engineering experience.