Monitor and analyze application and infrastructure performance across production and non-production environments to ensure optimal system availability and efficiency.
Develop data-driven strategies and implement continuous improvement initiatives in collaboration with application teams, solution architects, security teams, and other stakeholders.
Partner with business users to establish and support cloud-based environments for AI and analytics use cases.
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Perform Level 2 troubleshooting, support, and incident management for user computers, mobile phones (iPhone & iPad), accessories, and related technical infrastructure per the client's SLA.
Provide technical support for desktop/laptop PCs, mobile phones, printers (SFP/MFP/Label Printer/Barcode Scanners), monitors, server/network equipment, and other hardware in both office and manufacturing environments.
Reproduce, diagnose, and analyze problems reported by end-users and formulate solutions to resolve the issues.
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Provide L2/L3 production support for communication surveillance applications and related interfaces.
Monitor application health, batch processing, system availability, and production alerts using tools such as ITRS Geneos, Nagios, AppDynamics, Dynatrace, Splunk, ELK, Grafana, or equivalent monitoring platforms.
Investigate, troubleshoot, and resolve incidents across Linux, Unix, RHEL, Windows, database, batch, and application layers.
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Monitor and analyse the current state of various product runtime environment (production and non-production) to ensure optimum system performance and work out data-based strategy for continuous improvement. Work with application teams, solution architects, security consultants, and other teams to implement improvement plans.
Work closely with business users to setup AWS Quick environment to support AI use cases.
Manage application and security incidents, conduct problem determination, work with various internal teams and vendors to resolve issues on a timely basis to meet SLA, provides reporting and escalation to higher management or incident committee if necessary.
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Monitor and analyse the current state of various product runtime environment (production and non-production) to ensure optimum system performance and work out data-based strategy for continuous improvement. Work with application teams, solution architects, security consultants, and other teams to implement improvement plans.
Work closely with business users to setup AWS Quick environment to support AI use cases.
Manage application and security incidents, conduct problem determination, work with various internal teams and vendors to resolve issues on a timely basis to meet SLA, provides reporting and escalation to higher management or incident committee if necessary.
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