o Design, configure and maintain monitoring solutions to ensure system health, availability and performance visibility across infrastructure, networks, applications and security platforms in New Data Centre.
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Monitor the health, performance, adoption, and compliance of Microsoft 365 and endpoint services, producing operational and security reports using Microsoft Graph and other reporting tools.
Provide Level 2 and Level 3 engineering support for desktop platforms, investigate complex technical issues, perform root cause analysis, and recommend improvements to endpoint architecture, security posture, and user experience.
Minimum 5 years of experience in endpoint management, desktop engineering, or endpoint security within enterprise environments.
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Monitor the health, performance, adoption, and compliance of Microsoft 365 and endpoint services, producing operational and security reports using Microsoft Graph and other reporting tools.
Provide Level 2 and Level 3 engineering support for desktop platforms, investigate complex technical issues, perform root cause analysis, and recommend improvements to endpoint architecture, security posture, and user experience.
Minimum 5 years of experience in endpoint management, desktop engineering, or endpoint security within enterprise environments.
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Regularly deploy product updates as required to keep the platform vulnerability-free.
Work with open-source technologies, CI/CD, SCM tools as necessary, and source control such as Bitbucket, implement organization containers (e.g., Docker and Kubernetes). Stay current with industry trends and propose new ways for the business to improve.
Take accountability in considering business and regulatory compliance risks and take appropriate steps to mitigate the risks.
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Understand the system design and provide impact analysis to any changes.
Perform application health check and monitoring
Required to work on shifts on a rotational basis to provide 18 by 7 support with 2 days off. (9 hours per shift – 6:30am to 3:30pm/ 2:30pm to 11:30pm)
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Develop algorithms and optimise for LiDAR and Camera sensor data processing, including tracking filters (e.g., Kalman filters, particle filters), feature extraction, object detection, and sensor fusion techniques
Integrate trained models into the production system, ensuring smooth deployment and operation under production-grade ROS (1/2) nodes in C++.
Take models from research to deployment - TensorRT conversion, quantization, and latency/throughput optimization on NVIDIA embedded platforms.
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Facilitate the rollout of tooling application throughout all levels of the pipeline
Advise functional and admin teams on design, development, and overall best practices
Owning the creation of technology frameworks and providing technical leadership in internal and customer initiatives with a focus on the design of application monitoring services across many technologies
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