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Support Engineer; AI Video Analytics
Job Description & How to Apply Below
About the Company
Our client is a fast-growing technology company that develops advanced AI-driven security and surveillance solutions. Their products help organizations enhance safety by combining powerful software with existing camera and infrastructure systems. Customers include enterprises, public spaces, and critical infrastructure sites around the world.
About the RoleThey are seeking a hands-on Support Engineer who is both highly technical and people-oriented. This individual will work directly with customers to install, configure, and maintain solutions, ensuring smooth deployments and long-term success. The role requires strong problem-solving skills, effective communication, and the ability to bridge technical challenges with business needs.
Responsibilities- Install, configure, administer, and maintain customer deployments.
- Work directly with customers to optimize product usage and maximize value.
- Train customers on best practices, features, and performance optimization.
- Troubleshoot complex software issues by replicating environments and network problems.
- Collaborate with internal teams (Engineering, Product, Sales, and Customer Success) to resolve issues and improve solutions.
- Act as the customer advocate, ensuring timely resolutions and effective communication.
- Provide feedback to Product Management and R&D to enhance product performance and usability.
- Support account growth by helping identify new opportunities within existing customers.
- 2+ years in a customer-facing technical role (Integration Engineer, IT Systems, Professional Services, etc.).
- 2–3 years of hands‑on Linux/Unix experience.
- Familiarity with APIs and tools such as Postman.
- Strong communication and presentation skills in English.
- Bachelor’s in Computer Science, Engineering, or equivalent experience.
- Knowledge of Docker/Kubernetes.
- Programming in Python/Ansible;
Bash scripting. - Basic understanding of database architecture and SQL.
- Experience with ticketing systems (e.g., Salesforce).
- Exposure to both cloud‑based and on‑prem environments
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