Site Reliability Engineer, Infrastructure - ThousandEyes

Cisco; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Cisco ThousandEyes is seeking a Site Reliability Engineer to design and operate large-scale distributed systems that process vast telemetry data. You will use AI tooling to write high-quality code and automate releases, helping reduce operational costs and scale across regions.

Join a world-class SRE team responsible for availability, latency, performance, and capacity planning, working closely with application teams to meet internal and customer SLAs.

Qualifications

• Proficiency writing production-quality code in Python or Go.
• Hands-on experience with AWS and Kubernetes in production.
• Experience with infrastructure-as-code tooling (Terraform).
• Experience leveraging AI to reduce toil and improve efficiency.
• GNU/Linux administration and networking knowledge.

Responsibilities

• Design and operate large-scale distributed systems for the ThousandEyes platform.
• Use AI tooling to enable fast, reliable releases and automate toil.
• Evaluate scalability, resiliency, performance, and security; test HA and DR.
• Troubleshoot complex issues and participate in on-call rotation.
• Collaborate with development teams to meet SLAs and improve tooling.

Skills

Python

Go

AWS

Kubernetes

Terraform

AI tooling

GNU/Linux

Education

Bachelor's degree

Master's degree

PhD

Tools

Terraform

Job description

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 write 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 automating 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.