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

Overview

Site Reliability Engineer (SRE) and Software Developer supporting backend services for Cisco's SaaS teamwork products within the Collaboration Business Unit, including Webex. The role supports a 3-shift model.

What you'll do

• 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.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) with 5+ years in Site Reliability Engineering, Cloud Operations, Software Development or Systems Engineering.
• Strong hands-on experience operating production services using Docker and Kubernetes in cloud or hybrid environments.
• Proficiency in Python and more programming or scripting languages (e.g., Python, Go, Bash) to build automation and operational tooling.
• Experience with monitoring, observability, and incident response in production environments, including on-call participation and post-incident reviews.
• Working knowledge of Linux systems, networking, distributed systems, relational databases, REST API, Kubernetes, Argo, Jenkins, CI/CD pipelines, infrastructure-as-code, and Git-based workflows.
• Ability to define clear software interfaces, validate inputs, and communicate failures effectively.
• Sound technical judgment, strong troubleshooting skills, and the ability to collaborate with both software engineers and operations.
• Strong written and verbal communication.

Nice to have

• Experience operating large-scale, globally distributed SaaS platforms.
• Familiarity with hybrid cloud environments and multi-region deployments.
• Experience applying AI-assisted or automation-first approaches to SRE tooling and workflows.
• Strong written communication skills for creating clear operational documentation and runbooks.
• Hands-on experience developing MCP servers or tools, or building tools and API integrations for AI assistants and agents.
• Practical knowledge of TCP/IP, DNS, HTTP/TLS, load balancing, and service connectivity.
• Experience automating or troubleshooting network services such as DNS records, VIPs, or certificates.

Details

• Location: Bangalore, India.
• Supports a 3-shift model.