Technical Support Engineer-Azure IOT
4 weeks ago
Skills :Knowledge with
Azure IOT
and how it works with associated Azure services.Hands on provisioning device, provisioning and monitoring an
IoT hubKnowledge of communication methods,
Tokens
between Hubs and devices etcKnowledge on
Microsoft IoT solutions,
networking, device topologyKnowledge of
IoT concepts, protocols, architecture, workflowsFamiliarity with
IoT platforms, cloud services,
and networking technologies.Familiarity with
machine learning algorithms ,
model development , and deployment.Knowledge of
coding
into
C, C++ and Python
will be an added advantage andKnowledge of
IoT SDK’s
and troubleshooting skillsExperience in
Artificial Intelligence
is desirableConfigure/manage
two-way connectivity between
Azure and IoT devicesHandle security / access issues/ Token authentication errors/ create & maintain Person GroupMonitoring alerts, diagnostic logs and metrics on IoT Hub/IoT Hub-managementKnowledge to create and manage AKS clusters, quotas, service &subscription limitsIoT Hub and DPS service security(TLS) certificate create/renewalMonitoring alerts, diagnostic logs and metrics on
IoT Hub/IoT Hub-managementKnowledge to create and manage AKS clusters, quotas, service &subscription limitsIoT Hub and DPS service security(TLS)
certificate create/renewal
Technical Support Engineer - Responsibilities• Responsible for the customer support experience with Microsoft• Own, troubleshoot and solve customer technical issues, using collaboration, troubleshooting best practices and transparency within and across teams (e.g. swarming)• Identify cases that require escalation (either technically or strategically)• Create and maintain incident management requests to product group or engineering group• Contribute to case deflection initiatives, automation and other digital self-help assets to improve customer and engineer experience• Provide ramp activities, knowledge sharing, technical coaching and mentoring• Drive technical collaboration and engagement outside of CSS (Product Engineering teams, Services, Support, Regions)Customer Guidance: Provide guidance and recommendations to customers on best practices for machine learning model development, deployment, and monitoring using Azure Machine Learning.Troubleshoot and resolve technical issues, performs system maintenance and upgrades, and provides guidance and training to users.• Lead or participate in building communities with peer delivery roles; may be workload or specialty specific
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