Site Reliability Engineer, Infrastructure - ThousandEyes

Posted An Hour Ago
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Hiring Remotely in London, Greater London, England, GBR
Remote or Hybrid
Mid level
Cloud • Software
We deliver visibility from switch to SaaS and everything in between—so you can deliver flawless digital experiences.
The Role
Design, operate, and scale large distributed systems for telemetry processing. Build automation, use AI tooling to reduce toil, ensure availability and disaster recovery, participate in on-call incident response, troubleshoot production AWS/Kubernetes environments, and collaborate with application teams to meet SLOs/SLAs.
Summary Generated by Built In
Meet the Team
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network-even the ones they don't own. Powered by AI and an unmatched set of cloud, internet, and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues before they affect end-user experiences. ThousandEyes is deeply integrated across the Cisco technology portfolio, delivering AI-powered assurance insights within Cisco's Networking, Security, Collaboration, and Observability portfolios. Our distributed Site Reliability Engineering team of approximately nine engineers owns the availability, latency, performance, efficiency, monitoring, emergency response, and capacity planning of the platform while partnering closely with application development teams. We believe in operations, infrastructure, and everything as code, creating a collaborative and pragmatic environment where engineers can manage large-scale systems that receive hundreds of millions of messages per hour.
Your Impact
Design and operate large-scale, highly available distributed systems that allow the ThousandEyes platform to process a constantly growing volume of telemetry data. Use AI Tooling to w rite high-quality code and automated solutions that enable fast, reliable releases, reduce operational expense, and allow our infrastructure and platforms to scale thoughtfully across regions. Evaluate the scalability, resiliency, performance, and security of production services, including testing high-availability and disaster-recovery measures and addressing potential single points of failure. Troubleshoot complex issues across infrastructure and platform services, participate in the on-call rotation and incident-management process, and turn root-cause findings into lasting reliability improvements. Collaborate with application development teams and other stakeholders to meet internal Service Level Objectives and customer-facing Service Level Agreements while improving the tools, frameworks, platforms, and automation used throughout the service lifecycle.
Minimum Qualifications
  • Proficiency writing production-quality code in at least one programming language, such as Python or Go.

  • Hands-on experience designing, operating , or troubleshooting production systems in AWS and Kubernetes , including participation in an operational on-call rotation.

  • Hands-on experience with infrastructure-as-code tooling and codebases, preferably Terraform.

  • Hands-on experience leveraging AI as a force multiplier of SRE activities , such as automati ng toil away and improving operational efficiency.

  • Professional experience administering and troubleshooting GNU /Linux systems, including system libraries, file systems, networking, and client-server protocols.

Preferred Qualifications
  • Bachelor's degree with 5+ years of related experience, master's degree with 3+ years of related experience, or PhD with related technical knowledge.

  • Experience designing and implementing scalable, resilient, and well-tested distributed systems.

  • Experience with Service Level Objectives, Service Level Agreements, monitoring, alerting, capacity planning, incident management, or disaster-recovery testing.

  • Experience building automation that reduces repetitive work, improves release safety, or increases infrastructure efficiency.

  • Strong communication and documentation skills, including experience writing root-cause analyses and working across engineering teams.

  • Strong sense of ownership, sound technical judgment, and attention to operational and security details.

Why Cisco?
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.

Skills Required

  • Production-quality coding in at least one language (examples: Python or Go).
  • Designing, operating, or troubleshooting production systems in AWS and Kubernetes, including on-call participation.
  • Experience with infrastructure-as-code tooling and codebases (preferably Terraform).
  • Experience leveraging AI tooling to automate SRE tasks and improve operational efficiency.
  • Administering and troubleshooting GNU/Linux systems, including libraries, file systems, networking, and client-server protocols.
  • Bachelor's degree with 5+ years, master's with 3+ years, or PhD with related technical knowledge.
  • Designing and implementing scalable, resilient, well-tested distributed systems.
  • Experience with SLOs/SLAs, monitoring, alerting, capacity planning, incident management, or disaster-recovery testing.
  • Building automation to reduce repetitive work, improve release safety, or increase infrastructure efficiency.
  • Strong communication and documentation skills, including writing root-cause analyses and cross-team collaboration.
  • Strong ownership, technical judgment, and attention to operational and security details.

What the Team is Saying

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The Company
HQ: San Francisco, CA
1,100 Employees
Year Founded: 2010

What We Do

Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.

Why Work With Us

Thousand eyes it a quickly growing company with great opportunities. We empower enterprises to see, understand, and improve digital experiences for their customers and employees. We value professional development, and work with team members to achieve their career goals.

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Cisco ThousandEyes Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 20 % of the time
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