1 day ago
Base Salary
$168k - $245k/yr
Responsibilities
- Lead quality strategy for large-scale generative AI products and platforms.
- Design scalable testing and automation approaches for AI pipelines, APIs, user interfaces, federated microservices, and multi-tenant SaaS architectures.
- Establish release-readiness practices using quality gates, test traceability, representative environments, and data-driven Go/No-Go criteria.
- Analyze model degradation, system failures, and test instability to drive root-cause analysis and improve platform reliability.
- Define release-quality criteria and diagnose failures using test results, logs, metrics, and engineering data.
- Partner with cross-functional engineering and customer teams and mentor QA and software engineers.
Requirements
- Bachelor’s degree in engineering or a related field plus 6 years of relevant experience, or a master’s degree in computer science or engineering plus 4 years of experience, or a PhD plus 2 years of practical experience.
- Experience 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, or Selenium.
- Experience validating frontend and backend systems, REST and/or GraphQL APIs, service integrations, CI/CD pipelines, and distributed microservice architectures.
- Experience defining release-quality criteria and diagnosing system failures using test results, logs, metrics, and other engineering data.
- Preferred experience testing generative AI, AI/ML platforms, AI agents, LLM-powered applications, or other AI products, including model-quality and degradation evaluation.
- Preferred experience with AI-agent-assisted QA workflows using Cursor, Claude, Codex CLI, or equivalent tools, including agent-based or MCP-based test orchestration.
- Preferred experience testing multi-tenant cloud platforms and AI environments involving datasets, model versions, feature flags, Kubernetes, and ArgoCD.
- Preferred experience building scalable test frameworks across multiple engineering teams and mentoring QA or software engineers.
- Knowledge of security, privacy, data governance, or compliance requirements for enterprise SaaS and AI products.
Benefits
- Hybrid work arrangement in Milpitas, California.
- Salary range of $167,700.00 to $245,200.00, excluding incentive compensation, equity, and benefits.
- Medical, dental, and vision insurance; 401(k) with Cisco matching; paid parental leave; disability coverage; and basic life insurance.
- Paid holidays, birthday leave, year-end shutdown, personal wellness days, vacation or flexible time off, sick time, and family emergency leave.
- Optional 10 paid volunteer days per year and potential annual bonuses for non-sales roles.
- Potential eligibility for Cisco restricted stock unit grants.
Tech Stack
Categories
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.