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.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
be in direct response to an application you have submitted through the company career site
begin with screening or an interview
originate from a Cisco email address, and
be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
