Top Engineering Jobs

Lead the architecture, operation, and reliability of Cisco ThousandEyes’ FedRAMP-compliant AWS GovCloud platform. Build resilient cloud-native services using infrastructure as code, maintain high availability and security for high-volume data streams, automate compliance controls and auditing, and optimize multi-region infrastructure. Collaborate with engineering and security teams, lead technical initiatives, address operational risks, and establish engineering standards for regulated environments.

Designs, deploys, and operates highly available, secure, multi-region cloud platforms. Responsibilities include managing AWS and Kubernetes services, automating production operations, improving reliability and scalability, participating in 24x7 incident response, and developing tooling for deployment, testing, failure recovery, and platform security. The role collaborates with application engineering teams and requires Linux administration, Python or Go development, container security, and CI/CD automation experience.

Lead the design, development, and operation of large-scale distributed software systems for Cisco ThousandEyes. Partner with product and engineering leaders to integrate technologies across Cisco wireless and security portfolios, develop AI-powered diagnosis and remediation capabilities, improve developer productivity, and mentor engineers. Collaborate cross-functionally to deliver internet-scale products using production-grade software engineering practices.

Manage and grow an Endpoint engineering team to build and scale backend infrastructure that ingests, aggregates, and stores agent-collected telemetry. Collaborate with product and cross-functional teams to deliver assurance use cases, drive data processing and availability at scale, and support engineers' career development.

Design, deploy, and operate large-scale, multi-region cloud-native services to improve reliability, performance, and security. Partner with application teams to build automation, run SLO-driven incident response and on-call rotations, leverage Kubernetes and CNCF tooling, and implement scalable operations, chaos and scale testing, and infrastructure-as-code for a resilient SaaS platform.

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.