Site Reliability Engineer (SRE) – Cloud Platform & Kubernetes , Docker (4 to 8Years)

Meet the Team Cisco’s Collaboration Business Unit empowers people and organizations worldwide to connect, communicate, and innovate seamlessly. You will collaborate with a global team of software engineers and SREs responsible for delivering outstanding collaboration experiences at scale. Our team supports backend services deployed worldwide and works closely with development, product, and operations partners to ensure reliability and performance. This position support shift model (3 shift model) Webex is powering the shift to the hybrid workforce, helping people stay connected in a rapidly evolving digital world. We nurture a startup-like culture that values innovation, ownership, and teamwork, while offering the scale and impact of a global technology leader. Your impact Site Reliability Engineer (SRE) and Software Developer supporting backend services for Cisco’s SaaS teamwork products; supporting AI based software development to support development of workflow, automate repetitive tasks, you will play a critical role in delivering reliable, scalable, and resilient experiences across Webex Suites solutions. Your work will directly impact the availability, performance, and quality of services used by millions of users globally. Specifically: Own the deployment and operation of critical collaboration services across cloud and hybrid environments, driving reliability and scalability. Develop, evolve, and optimize CI/CD pipelines and automation, including AI‑first tooling for deployment, monitoring, and incident response. Lead incident response for complex production issues, perform root cause analysis, and drive systemic reliability and performance improvements. Use observability data to guide capacity planning, scaling strategies, and resource optimization across services. Define and champion operational best practices, documentation standards, and a culture of reliability and operational perfection. Develop Python backend services, REST APIs, and background jobs for operational automation. Develop and implement MCP tools that expose operational capabilities to AI clients, with clear tool descriptions, input schemas, validation, structured results, and useful error responses. Supply to the shared tool-execution platform used by MCP and the Webex bot's AI workflow, so a capability follows consistent rules regardless of how it is invoked. Build integrations with systems used for deployments, DNS, VIPS, certificates, storage, Kubernetes, and configuration management. Ensure automation respects permissions, approval requirements, job tracking, and audit records-particularly for operations that change infrastructure. Solve issues across APIs, background workers, MCP tool calls, and external systems. Improve tests, logs, metrics, and documentation based on what you learn. Participate in design discussions and code reviews and work with multi-functional teams to deliver practical solutions. Minimum Qualifications