Senior CNS Engineer: AI-Driven Incident & Data Safeguards

Senior CNS Engineer: AI-Driven Incident & Data Safeguards

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead incident management and analyse critical network data with AI tools.
  • Company: Cisco Systems, a leader in tech innovation and network solutions.
  • Benefits: Competitive salary, health benefits, remote work options, and mentorship opportunities.
  • Other info: Opportunity for career growth and to work with cutting-edge technology.
  • Why this job: Join a dynamic team and make a real impact on data security and compliance.
  • Qualifications: Experience in network support and strong analytical skills required.

The predicted salary is between 63000 - 77000 £ per year.

Cisco Systems, Inc. is hiring a Senior Network Support Engineer to lead incident management for UK Data Sovereignty cases.

You will analyse critical network data, coordinate with global TAC, and route complex issues to teams with AI-assisted tooling and de-sensitisation processes.

You will mentor peers, drive CSI across workflows, and ensure compliant, secure remediation with cross‑vendor environments.

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Senior CNS Engineer: AI-Driven Incident & Data Safeguards employer: Cisco Systems, Inc.

Cisco is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to lead transformative projects in the AI era. With a commitment to professional growth, employees benefit from extensive training opportunities and mentorship within a diverse, multidisciplinary team. Located in the UK, Cisco offers a dynamic work environment where your contributions directly impact global infrastructure, making it a rewarding place to build a meaningful career.

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Contact Details:

Cisco Systems, Inc. Recruitment Team

We think you need these skills to ace Senior CNS Engineer: AI-Driven Incident & Data Safeguards

Incident Management
Data Analysis
AI-Assisted Tooling
Mentoring
Cross-Vendor Coordination
Compliance Knowledge
Network Data Analysis