Cloud Services Architecture Fellow

Remote Work YesOverview At Zebra we are a community of innovators who come together to create new ways of working to make everyday life better United by curiosity and care we develop dynamic solutions that anticipate our customers and partners needs and solve their challenges Being a part of Zebra Nation means being seen heard valued and respected Drawing from our diverse perspectives we collaborate to deliver on our purpose Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations their employees and those they serve You have opportunities to learn and lead at a forward-thinking company defining your path to a fulfilling career while channeling your skills toward causes that you care about locally and globally Weve only begun reimaging the future for our people our customers and the world Lets create tomorrow together This role will drive technical architecture of services engineering teams within the Software Solutions business unit These products focus on empowering front-line workers using Zebra and other hardware to be more effective in their roles Our software solutions combine the power of the cloud with IoT big data analytics and machine learning to put powerful insights and capabilities into the hands or our customers workers in real-time We serve customers in various verticals including transport logistics healthcare retail and manufacturing Responsibilities Responsibilities include working with cross-functional Agile development teams to evaluate design and architect cloud native solutions Requires a sound working knowledge of Google Cloud Platform services and capabilities microservice design and domain-driven-development Will collaborate across functions to define the system architecture and ensure the integrity of the design by defining SLOs Will have overall responsibility for setting the technical direction of a solution including selecting frameworks identifying dependencies writing technical requirements and driving continuous improvement Shall understand DevOps and can drive requirements for CI CD automation scripts load performance testing auto-scaling and monitoring tools capable of operating solutions with minimal manual intervention Shall evaluate work upon completion to ensure technical KPIs have been met and will drive functional excellence initiatives Works effectively in a fast-paced global environment supporting high-demand solutions Qualifications Minimum Education Bachelor s in Computer Science Computer Engineering or Computer Information Systems Masters Degree preferred Minimum Work Experience years 15 years of experience 5 years of experience in cloud-based enterprise-systems architecture Experience in product engineering Key Skills and Competencies Experienced hands-on architect Enjoys active prototyping design and code reviews production incident handling and service evolution Experience with highly Agile development teams and large-scale system creation Experience in GCP and API development including externally exposed APIs Excellent communication skills and the ability to create architecture diagrams and distill complex technical subjects in order to present updates to executive leaders Real-world experience in cloud native product development including delivering a software solution through to production Proven problem solver and impediment remover identifies issues finds solution to blockers and helps resolve technical issues quickly to achieve goals Eager to evaluate the pros and cons of different technical solutions and determine how best to apply different cloud capabilities Drives innovation and acts as evangelist for technology improvements Knowledge of variety of database and datastore technologies and how best to utilize each RDBMS Distributed SQL DeltaLake bucket blob storage document stores such as MongoDB and BigTable Working knowledge of building compelling back-end application frameworks Strong interest in product development and platform approach to system design Understand ways to incorporate Machine Learning and AI into a larger system design Familiarity with a variety of API and client server communication technologies such as gRPC Protocol Buffers OpenAPI GraphQL MQTT Kafka MongoDB Realm Working knowledge of Kubernetes and Service Mesh Familiar with load-testing scaling services right-sizing and cost management Familiar with Infrastructure-as-Code approach to cloud deployment via Terraform and Helm Working knowledge of several computer languages especially modern Java and Javascript Solid understanding of continuous integration continuous deployment and operations concepts Experience in a broad range of Google Cloud Platform services and capabilities preferred Position Specific Information Travel Requirements as a of time 10 To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers please be aware our recruiters will always connect with you via email accounts Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system If you are a victim of identity theft contact your local police department