Location: Basking Ridge,NJ, USA
Company Overview:
World Wide Technology (WWT) is a global technology integrator and supply chain solutions provider. Through our culture of innovation we inspire, build and deliver business results, from idea to outcome.
Based in St. Louis, WWT works closely with industry leaders such as Cisco, HPE, Dell EMC, NetApp, VMware, Intel, AWS, Microsoft, and F5, focusing on three market segments: Fortune 500 companies, service providers and the public sector. WWT employs more than 5,400 people and operates in more than 2+ million square feet of state-of-the-art warehousing, distribution and integration space strategically located throughout the world. WWT is proud to announce that it has been named on the FORTUNE 100 Best Places to Work ForĀ® list for the eighth consecutive year and was awarded for multiple categories on Glassdoor's 2019 Employees' Choice Awards, honoring the Best Places to Work.
Job Title: Resident Engineer
Location: Basking Ridge, NJ- 2 days a week onsite
Duration: 12 Months
Job Summary: We are seeking a dynamic and versatile Resident Engineer to design, test, and implement product solutions integrated into public and private Multi-Access Edge Computing (MEC) environments. The ideal candidate will develop and automate custom software solutions, optimize MEC resource utilization, and support the OpenShift ecosystem. They should be a quick thinker, creatively driven, and able to troubleshoot and implement resilient systems efficiently.
Key Responsibilities:
Required Skills and Experience:
Versatile Problem Solver: Ability to think on the fly, adapt to various technical challenges, and be resourceful across multiple domains.
Linux Proficiency: Strong Linux administration skills; familiarity with Red Hat, OpenShift, OpenStack, and Kubernetes. Experience with VMware is a plus.
Cloud and Virtualization: Expertise in cloud technologies and virtualization.
Networking Knowledge: Understanding of network infrastructures and their optimization.
Data Science & AI: Experience or hands-on exposure to data science, machine learning, and artificial intelligence is a plus
Data Analytics: Ability to analyze and leverage data to optimize processes.
Physical Engagement: Open to participating in physical activities required by the team and project tasks.
Creative Thinker: A mad scientist mindset; someone passionate, innovative, and highly conversational. A passion for technology and a creative approach to problem-solving.