Key Responsibilities:
- Architectural Design:
- Design and implement robust network monitoring solutions capable of providing real-time insights into network performance and health.
- Develop automation frameworks to streamline network management, including provisioning, configuration, and incident response.
- Leverage Kubernetes for deploying and managing containerized network monitoring and automation applications, ensuring scalability and reliability.
- AI/ML Integration:
- Incorporate AI/ML technologies to enhance network monitoring, including predictive analytics for network performance, anomaly detection, and automated incident response.
- Develop and implement machine learning models that can analyze network data and provide actionable insights for optimization.
- Technical Leadership:
- Lead the development and integration of innovative network monitoring and automation strategies.
- Establish and enforce industry standards and best practices for software development within the network domain.
- Development and Implementation:
- Ensure seamless integration of monitoring and automation tools with existing network infrastructure and third-party systems.
- Collaboration and Communication:
- Work closely with cross-functional teams, including Network Reliability Engineers (NRE) and Service Reliability Engineers (SRE) to ensure the effective use of monitoring and automation solutions.
- Performance Optimization:
- Continuously monitor, optimize, and tune network monitoring and automation systems to meet required service levels.
- Develop and implement automation scripts and tools to improve network incident response times.
- Security and Compliance:
- Integrate security considerations into the design of monitoring and automation solutions.
- Ensure compliance with industry regulations, including the development of automated auditing and reporting features.
- Continuous Improvement:
- Provide training and mentorship to team members on the latest technologies and methodologies.
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