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

Cisco; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Cisco’s Collaboration Business Unit is recruiting a Site Reliability Engineer (SRE) and Software Developer to support backend services for Webex SaaS products. You will work on AI‑driven tooling, automation, and reliability across cloud and hybrid environments, collaborating with global teams to deliver scalable, resilient experiences for millions of users.

You will develop Python backend services, REST APIs, and automation, lead incident response, and help craft observability-driven capacity

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent) with 5+ years in Site Reliability Engineering, Cloud Operations, Software Development or Systems Engineering.
• Hands-on experience operating production services using Docker and Kubernetes in cloud or hybrid environments.
• Proficiency in Python and additional languages (e.g., 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, REST API, Kubernetes, Argo, Jenkins, CI/CD pipelines, infrastructure-as-code, and Git-based workflows.
• Strong written and verbal communication and collaboration skills.

Responsibilities

• 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.

Skills

Python programming

Docker

Kubernetes

CI/CD

Observability

Education

Bachelor's degree in Computer Science/Engineering

Tools

Argo

Jenkins

Git

Job description

Meet the Team

Cisco’s Collaboration Business Unit empowers people and organizations worldwide to connect, communicate, and innovate seamlessly.

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

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) with 5 Plus 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.

Preferred Qualifications

• 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.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.