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Qualifications
To succeed in this position, you should possess:Proficiency in Azure cloud services and architecture. Experience with video processing technologies and frameworks. Strong programming skills in languages such as Python, C#, or Java. Familiarity with containerization and orchestration tools (Docker, Kubernetes). Excellent problem-solving abilities and a proactive approach to challenges. Strong communication skills to work effectively within a team.
About the job
ncs3 is seeking an Azure Cloud Engineer in Singapore to focus on video intelligence projects. This role involves developing and enhancing cloud-based systems for video processing and analytics.
Key responsibilities
Collaborate with cross-functional teams to design, implement, and improve Azure cloud solutions supporting video intelligence.
Assist in integrating video analytics tools with cloud infrastructure.
Work to optimize system performance and ensure reliability for video processing workloads.
Location
This position is based in Singapore.
About ncs3
ncs3 is a leading technology company focused on delivering innovative solutions in cloud computing and video intelligence. We are committed to fostering a collaborative and inclusive work environment that encourages creativity and professional growth.
Position OverviewAs an Azure Cloud Engineer at NCS, you will play a crucial role in the management and optimization of Azure cloud infrastructure. Your expertise will ensure the resilience and performance of server environments across both Windows and Linux platforms. You will work collaboratively with our IT team to drive the success of diverse projects and…
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ncs3 is seeking an Azure Cloud Engineer in Singapore to focus on video intelligence projects. This role involves developing and enhancing cloud-based systems for video processing and analytics. Key responsibilities Collaborate with cross-functional teams to design, implement, and improve Azure cloud solutions supporting video intelligence. Assist in integrating video analytics tools with cloud infrastructure. Work to optimize system performance and ensure reliability for video processing workloads. Location This position is based in Singapore.
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Full-time|On-site|Downtown Core, Central Singapore, Singapore
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