Site Reliability Engineer (DevSecOps), Production Engineering – ThousandEyes

Overview

In this role, you will design and operate large-scale, cloud-based systems to ensure reliability, security, and performance of the ThousandEyes platform. You’ll collaborate with software teams across a multi-region, SaaS environment to optimize architectures, automate operations, and strengthen security. The role emphasizes incident response, scalable tooling, and leveraging cloud-native technologies to sustain a highly available service. You will work within a cross-functional team to drive reliability in a fast-paced, enterprise setting.

Responsibilities

• Collaborate with software engineers to optimize architecture for availability, latency, performance, and reliability using cloud-native tools
• Design and deploy scalable operations tooling to support platform growth across regions
• Maintain elastic and resilient AWS cloud-native services
• Participate in 24×7 incident response and on-call rotation
• Leverage CNCF solutions like Kubernetes, Service Mesh, Prometheus, OpenTelemetry, and ArgoCD to improve reliability
• Automate production operations with guardrails for continuous platform operation
• Develop automation for scalable service/platform operations including deployment, scale testing, graceful failure, and chaos testing
• Stay updated on industry best practices to improve platform scalability
• Identify and address obstacles hindering operational excellence across engineering teams
• Generalize and standardize solutions for repeated success across a multi-region microservice platform
• Contribute to platform scale testing and collaboration with application teams to improve system reliability
• Manage growing infrastructure with emphasis on infrastructure as code and data handling

Key requirements

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

• Excellent communication and documentation skills
• Strong sense of ownership, drive, and attention to detail
• Kubernetes in production
• Linux/Unix systems administration
• Python or Go for automation
• CI/CD with security scanning (SAST/DAST)

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