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Tier-1 brand, mid-level generalist title, metro location, and broad required skills increase competition.
Strong data/platform skills transferable, but network-specific telemetry expertise increases domain bias.
Explicit 4+ years plus mandatory streaming, observability, and container/Kubernetes experience.
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Design, engineer, and run Network Automation and Orchestration Tools stack for network and perimeter products enabling global site, fleet, asset, and IoT connectivity.
Build scalable, distributed network monitoring solutions using open-source tools, real-time streaming (Apache Kafka, Flink or Spark), and AI-driven insights for network operations.
Collaborate with network SMEs and product owners to develop AI-driven telemetry analysis, root cause tools, and intelligent insights; mentor engineers on data modeling and system design.
Minimum 4+ years of software engineering experience.
Hands-on experience with network monitoring/collection technologies such as Prometheus, Grafana Agent, SNMP traps, rsyslog, and Promtail.
Practical knowledge of CI/CD pipelines including GitHub Workflows, Docker, and Kubernetes for containerized application deployment.
Familiarity with real-time streaming platforms (Apache Kafka) and processing frameworks (Apache Flink or Spark).
Experienced software engineer with strong expertise at the intersection of network operations and software development, focusing on AI-driven network automation and observability.
Demonstrates ability to design scalable, distributed systems that operate across core, edge, and cloud network environments.
Skilled in collaborating with technical stakeholders and mentoring peers on best practices in system architecture, data modeling, and production security.