Technical Support Engineer - Kubernetes

Company Description Vaidio is a US-based AI technology company headquartered in Stamford, Connecticut, focused on transforming camera feeds into actionable insights through its AI Vision Platform. The platform offers over 30 advanced AI video analytics functions that enhance existing camera and video infrastructures with real-time alerts, forensic search, and business intelligence. Built on proven artificial intelligence, the open Vaidio Platform delivers high accuracy, faster alerts, broader functionality, and cost efficiency. Vaidio’s mission is to help customers improve security, safety, health, and operational efficiency, contributing to a safer, smarter world for organizations across industries.

Role Description The Technical Support Engineer - Kubernetes is a full-time hybrid role based in Woodbridge, CT, with flexibility for some work-from-home arrangements. In this role, the engineer provides technical support for the Vaidio AI Vision Platform, focusing on environments running Kubernetes and related container technologies. Day-to-day responsibilities include diagnosing and resolving complex technical issues, managing support tickets, and guiding customers through installation, configuration, upgrades, and performance optimization. The engineer collaborates with development and product teams to reproduce defects, document solutions, and contribute to knowledge base articles and technical documentation. The role also involves monitoring system health, assisting with deployments, and ensuring a high standard of customer satisfaction through clear, timely communication.

Qualifications

• Candidates should possess strong Technical Support and Troubleshooting skills, with experience handling complex, distributed systems.
• Candidates should possess solid Customer Support and Customer Service skills, including clear communication and a customer-focused mindset.
• Candidates should possess advanced Analytical Skills to diagnose issues, interpret logs and metrics, and identify root causes in Kubernetes-based deployments.
• Hands-on experience with Kubernetes, containers (e.g., Docker), and cloud or on-premise orchestration environments.
• Working knowledge of Linux systems, networking fundamentals, and monitoring/logging tools (e.g., Prometheus, Grafana, ELK, or similar).
• Ability to read and understand technical documentation, APIs, and configuration files; scripting experience (e.g., Bash, Python) is beneficial.
• Previous experience in supporting AI, video analytics, or SaaS platforms is a plus.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• Ability to work collaboratively in a hybrid environment, manage priorities, and remain calm under time-sensitive situations.