Network Engineering & Monitoring Solution Architect

Integration to applications or systems is key, how do you get to source systems to dbs, what are pitfalls are there, how would resolve, Putting all this information into data lake, how are you utilizing, strategy(doesn t need to know AI/ML) but some sort of idea how ML/AI to utilize the data lake better, and then monitoring and visualization

• We are seeking a versatile Network Engineering & Monitoring Solution Architect who excels at understanding complex network architecture, existing enterprise systems and identifying opportunities to modernize, optimize, or integrate them using open-source technologies or tools already available within the client ecosystem. This role combines expertise in network monitoring, data lake architecture, and systems integration to deliver impactful solutions.

Key Responsibilities:

• Design and implement monitoring frameworks using tools like Prometheus, Grafana, Zabbix, SolarWinds, SevOne, and time-series databases (e.g., InfluxDB, VictoriaMetrics, Clickhouse).
• Modernize and integrate enterprise systems using APIs .
• Collaborate with data scientists to embed AI/ML models for predictive analytics and anomaly detection.
• Lead workshops to align technical solutions with business goals.
• Must-Have Skills:
• Hands-on familiar with all the network vendor platforms like Cisco Meraki, Fortinet, Aruba, Versa, Juniper, Solarwinds, Velocloud.
• Familiar with large scale implementation for integration with the NMS API and Big data solutions.
• Work with developers for event collection, correlation and feeding ML solutions for anomaly detection, chronic site, performance-based ticketing.
• Expertise in network monitoring protocols and tools.
• Proven ability in system architecture, data lake implementation, and understanding complex enterprise systems.
• Nice-to-Have Skills:
• Familiarity with CI/CD tools and DevOps practices.
• Knowledge of alert noise reduction techniques using ML.