Site Reliability Engineer (DevSecOps), Production Engineering - ThousandEyes

Cisco ThousandEyes is a leading Digital Experience Assurance platform integrated with Cisco's Networking, Security, Collaboration, and Observability portfolios. The team focuses on AI-powered visibility into network and application performance through large-scale, cloud-based telemetry data.

• Hands-on experience deploying, operating, and troubleshooting containerized workloads in production Kubernetes environments.
• Professional experience administering Linux/Unix systems including process management, file systems, and networking protocols (TCP/IP, DNS, HTTP).
• Experience developing automation tooling, operational scripts, or backend services using Python or Go.
• Practical experience building hardened container images and integrating automated security scanning tools (SAST, DAST, or container vulnerability scanners) into CI/CD pipelines.

Nice to have:

• Familiarity with best practices for operating large-scale, highly available enterprise platforms.
• Over 3 years of experience in a related role.
• Excellent communication and documentation skills.
• Strong sense of ownership, drive, and attention to detail.

• Collaborate with software engineers to optimize architecture and services for availability, latency, performance, and reliability using cloud-native tools.
• Design and implement scalable operations tooling to support platform growth and scaling across multiple regions.
• Design, deploy, and maintain AWS cloud-native services that are elastic and resilient to failure.
• Participate in and improve 24x7 incident response and on-call rotation.
• Use and expand CNCF solutions like Kubernetes, Service Mesh, Prometheus, OpenTelemetry, and ArgoCD to increase platform reliability.
• Automate production operations for continuous platform operation.
• Develop automation solutions for deployment, scale testing, graceful failure, and chaos testing.
• Stay updated on industry best practices for scalability and reliability.
• Identify and solve obstacles hindering operational excellence.
• Generalize and standardize solutions and processes across a microservice-based multi-region platform.
• Leverage scale testing and additional environments to improve system reliability.
• Manage infrastructure emphasizing operations/infrastructure/everything as code.

This role requires working in a hybrid model with 2 days a week onsite in one of the Engineering hubs.