At Roche you can show up as yourself, embraced for the unique qualities you bring. At Roche, our network is the backbone of our innovation-connecting researchers, labs, and offices across the globe. As a Network Observability Engineer, you won't just be building dashboards for network engineers; you will be architecting the systems that ensure our global teams can collaborate on life-saving medicine without interruption.

You will join the Network Management Services team, a global group of specialized engineers sitting at the heart of Roche's infrastructure strategy. Your work directly influences how our global network is designed, monitored, and optimized. it is a strategic requirement that transforms raw data into the operational intelligence we need to stay ahead. Design and scale our observability stack (LogicMonitor, ThousandEyes, LiveNX) to provide real-time insights across a massive integral footprint.

Data Acquisition & Integration: Develop and maintain methods for extracting network data using various mechanisms, including SNMP, APIs, and network telemetry/streaming data.

Utilize

Linux and system administration knowledge to maintain monitoring infrastructure and integrate various open-source and commercial tools. Evaluate new monitoring solutions and open-source visualization tools (e.g., Grafana) to enhance our observability stack and stay ahead of industry trends.





Proactive Problem Solving: Use monitoring data to identify network performance issues, bottlenecks, and anomalies to reduce Mean Time to Resolution (MTTR) and prevent future incidents.

Unified Analytics & Stakeholder Reporting: Work in the design and implementation of a centralized observability dashboard fed by our corporate Data Lake. You will synthesize disparate data types-including technical network telemetry, financial metrics, and ITSM process data-into meaningful, actionable reports for both internal technical teams and external business stakeholders. Bachelor's degree in Computer Science, Engineering, or equivalent work experience. ~3+ years in Network Operations, SRE, or DevOps environments.

Deep proficiency in Linux/Unix and automation (Python, Bash, or Ansible) Good understanding of connectivity technologies (CCNA level or equivalent experience). Data-Driven Mindset: ~ Experience with API-based data collection and integrating disparate data sources into unified dashboards. Cross-Domain Data Analytics: ~ Experience working with Data Lakes to aggregate and normalize disparate data types (e.g., technical network telemetry, financial metrics, and ITSM process logs) into cohesive, stakeholder-facing reports and business intelligence dashboards.

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