The AI Software & Platform team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. Our passion lies in making our customers secure by simplifying security with zero compromise!
Your Impact
- Lead the quality strategy for large-scale Generative AI products and platforms, defining how we validate AI services, distributed systems, and end-to-end customer experiences.
- Design scalable testing and automation approaches across AI pipelines, APIs, user interfaces, federated microservices, and multi-tenant SaaS architectures to improve product quality and release confidence.
- Establish release-readiness practices using measurable quality gates, test traceability, production-representative environments, and data-driven Go/No-Go criteria.
- Analyze model degradation, system failures, and test instability to drive root-cause analysis and improve the reliability and resilience of our AI platform. Partner with Engineering, Product, UX, DevOps, Documentation, and Customer Engineering while mentoring QA engineers and advancing quality-first engineering practices across teams.
Minimum Qualifications:
- BS in Computer Science, Engineering, or a related field with 7+ years of relevant experience; or a Master's of Science Degree with 4+ years of related experience, or a PhD with 1+ years of related experience.
- Experienced designing and implementing test strategies, automation frameworks, and test infrastructure for distributed software systems, cloud platforms, or SaaS products.
- Python development experience and experience with automated testing frameworks such as Pytest, Playwright, Selenium, or equivalent.
- Experience validating frontend and backend systems, including REST and/or GraphQL APIs, service integrations, CI/CD pipelines, and distributed microservice architectures.
- Experience defining release-quality criteria and diagnosing complex system failures using test results, logs, metrics, and other engineering data.
Preferred Qualifications:
- Experience testing Generative AI, AI/ML platforms, AI agents, LLM-powered applications, or other AI-based products, including evaluation of model quality and degradation.
- Experience designing AI-agent-assisted QA workflows using tools such as Cursor, Claude, Codex CLI, or equivalent, including agent-based or MCP-based test orchestration.
- Experience testing multi-tenant cloud platforms and managing complex AI test environments involving datasets, model versions, feature flags, Kubernetes, and deployment technologies such as ArgoCD.
- Demonstrated experience building scalable test frameworks and establishing quality practices across multiple engineering teams, including mentoring QA or software engineers.
- Knowledge of security, privacy, data governance, or compliance requirements relevant to enterprise SaaS and AI products.
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field with 7+ years of relevant experience; or a master's degree with 4+ years; or a PhD with 1+ years
- Experience designing and implementing test strategies, automation frameworks, and test infrastructure for distributed systems, cloud platforms, or SaaS products
- Python development experience and experience with automated testing frameworks such as Pytest, Playwright, Selenium, or equivalent
- Experience validating frontend and backend systems, REST or GraphQL APIs, service integrations, CI/CD pipelines, and distributed microservice architectures
- Experience defining release-quality criteria and diagnosing complex system failures using test results, logs, metrics, and engineering data
- Experience testing Generative AI, AI/ML platforms, AI agents, LLM applications, or other AI-based products, including model quality and degradation evaluation
- Experience designing AI-agent-assisted QA workflows using Cursor, Claude, Codex CLI, or equivalent, including agent-based or MCP-based test orchestration
- Experience testing multi-tenant cloud platforms and managing AI test environments involving datasets, model versions, feature flags, Kubernetes, and ArgoCD
- Experience building scalable test frameworks and establishing quality practices across multiple engineering teams, including mentoring QA or software engineers
- Knowledge of security, privacy, data governance, or compliance requirements for enterprise SaaS and AI products
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
