Level

Roche

Network Observability Engineer

AI in this role

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

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. At Roche, observability isn't an afterthought; it is a strategic requirement that transforms raw data into the operational intelligence we need to stay ahead.

Main Responsibilities:

  • Architecture & Scaling: Design and scale our observability stack (LogicMonitor, ThousandEyes, LiveNX) to provide real-time insights across a massive global footprint.

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

  • System Administration & Tooling: Utilize Linux and system administration knowledge to maintain monitoring infrastructure and integrate various open-source and commercial tools.

  • Innovate & Prototype: 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.

Qualifications:

Education/ Experience:

  • Bachelor’s degree in Computer Science, Engineering, or equivalent work experience.

  • 3+ years in Network Operations, SRE, or DevOps environments.

Automation Skills:

  • Deep proficiency in Linux/Unix and automation (Python, Bash, or Ansible)
    Connectivity Foundation: Good understanding of connectivity technologies (CCNA level or equivalent experience).

Tooling Expertise:

  • Hands-on experience with modern observability platforms and the ability to turn raw telemetry into actionable insights.

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. 

 

 

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

How we score this

Network Observability Engineer at Roche scores 33 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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