Technical Support Engineer III (Linux/Kubernetes/Cloud)

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI.With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.As our Tier 3 Technical Support Engineer, you will serve as the highest level of technical escalation for complex software, infrastructure, and system integration issues impacting UVeye’s inspection platforms. This role requires expertise in distributed systems, Linux environments, containerized applications, cloud infrastructure, and networking, along with the ability to perform advanced troubleshooting, root cause analysis, and cross-functional collaboration with Engineering, DevOps, and R&D teams to drive scalable, long-term solutions.A day in the life and how you’ll make an impact:Dive into a gnarly hardware/software interoperability issue spanning Linux, Docker/Kubernetes, and AWS/GCP — and actually find the root cause, not just a workaroundSit down with Product, R&D, and DevOps to reproduce a persistent bug, validate a fix, and weigh in on whether the architecture itself needs to changeWrite a Python or Bash script that eliminates a manual task for good — because you think like a builder, not a ticket-closerTrace log files and network traffic to catch bottlenecks in our data pipelines and IoT hardware before they become customer-facing incidentsTurn what you just learned into an SOP, then teach it to Tier 1/2 so the next engineer doesn't need you to solve itRequirements:3+ years in Tier 3 Technical Support, Systems Engineering, DevOps, or SRE - ideally in SaaS, IoT, or hardware/software environmentsDeep, hands-on Linux troubleshooting via command lineProven experience deploying and troubleshooting Docker and Kubernetes in productionStrong grasp of networking fundamentals: TCP/IP, HTTP, DNS, DHCP, routing, firewalls, load balancersScripting fluency in Bash or Python for automation and log analysisWorking knowledge of at least one major cloud platform (AWS, Azure, or GCP)Comfort operating in Jira Service Management, GitHub, and SalesforceIdeally, we’re looking for: IaC/deployment tools (Jenkins, Helm)Machine vision or AI-driven SaaS backgroundStartup experienceAutomotive tech or enterprise hardware+software exposureAbility to translate technical capability into business outcomes Benefits we offer:Competitive Medical, Dental, Vision.Company 401k Match.20 PTO days, Company paid holidays.Career growth as we scale across the US.Compensation:UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $90,000 - $110,000.Why UVeye:Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.Check out our Life at UVeye page to learn more about the employee experience.UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.