Jobs at Cisco

Lead cross-functional pursuit teams to capture transformational SLED opportunities >$10M. Translate technologies (AI, cybersecurity, automation) into mission outcomes, build GTM and pipeline processes, evangelize offerings at industry events, and establish new organizational capabilities across healthcare, government, and education. Collaborate with engineering, government affairs, and partners to drive long-cycle, multi-stakeholder deals and coach virtual teams to exceed sales goals.

Lead architecture, design, and implementation of Ethernet switching software for Nexus data-center switches. Develop features, write clean code and unit tests, debug production issues, work with NPU/DPU/ASIC SDKs and traffic generators, mentor junior engineers, lead small-to-medium projects, and coordinate cross-functional delivery.

Own and resolve non-technical customer cases end-to-end, advise on licensing/orders/administrative issues, collaborate with Support, Product, Sales, and Ops, escalate when needed, drive process improvements, and create/edit knowledge base articles to improve customer experience.

Lead adoption and activation for Cisco's AI for Sales Center of Excellence. Own program health, operating cadence, executive and frontline-manager engagement, adoption measurement, and cross-functional orchestration to drive seller behavior change and business outcomes.

Lead and execute ASIC package design from concept to implementation: optimize pinouts, stack-ups, PDN, and high-speed routing; collaborate with floor‑planning, SI/PI, and layout teams; improve methodologies; mentor engineers and coordinate with vendors and stakeholders.

Design, implement, and operate cloud-native, highly scalable distributed platform services for enterprise metadata management and data discovery. Own features end-to-end, ensure reliability, observability, automation, and collaborate across teams to drive platform architecture and production excellence.

Manage a portfolio of Local Government and K-12 accounts, driving sales of networking, security, collaboration, data center, software and cloud solutions. Build executive relationships, lead cross-functional teams, accurately forecast revenue, analyze customer finances and consumption models, and exceed quota through strategic account planning and opportunity management.

Lead qualification and development of interconnect and connector components, collaborate with suppliers and cross-functional teams to improve quality and processes, support NPI and product transfers, drive defect reduction, and provide technical support for manufacturing readiness and supplier capability.

Design, automate, configure, and qualify customer use cases on IOS‑XR platforms (ASR9K, NCS series, 8000). Develop test frameworks and GUIs, execute manual and automated tests, reproduce customer issues in labs, track defects, and collaborate with development, account teams, and customers to improve coverage and automation.

Provide legal counsel to Service Provider accounts in UKI: draft, review and negotiate commercial agreements; advise management on contractual risk; integrate AI and CLM tools for legal research and contract workflows; implement corporate legal policies; ensure compliance with data protection and telecoms regulations; and liaise with internal teams to scale legal processes.

Lead a global thermal component engineering team to define technology roadmaps, drive supplier and ecosystem readiness for advanced cooling (air, liquid, immersion), set quality and validation strategies, analyze thermal performance tradeoffs, and engage with ODMs, vendors, and academia to deliver scalable thermal solutions for microelectronics.

Lead technical design and operation of secure, scalable CI/CD and build systems for FedRAMP High/DoD IL5 environments. Translate compliance into implementation, maintain build health, collaborate with SRE and product teams, mentor engineers, and lead incident triage and remediation.

Design, develop, validate, fine-tune, and deploy AI/ML models (including LLMs and SLMs) and AI agents. Improve model performance using transformers, distillation, and reinforcement learning. Collaborate cross-functionally to build scalable, responsible solutions for delivery intelligence, network automation, edge computing, and DevOps automation.

Design, build, and maintain a Python-based validation framework and pipelines for OpenStack/Kubernetes platforms. Validate functional and non-functional releases, detect regressions, performance and stability risks, generate Allure reports, analyze logs/metrics, and collaborate with SRE, security, networking, and application teams. Lead AI-assisted engineering adoption to scale tooling and automation.

Lead SRE responsible for architecting and operating large-scale SaaS deployments on public cloud (AWS). Design reliable, observable, fault-tolerant Kubernetes-based infrastructure, manage deployment automation, performance, disaster recovery, and collaborate with DevOps to improve CI/CD and customer experience.

Lead architecture and strategy for an AI-native, cloud-native data and analytics platform for Webex Contact Center. Define scalable streaming, lakehouse, and AI-ready pipelines; drive model development, inference optimization, governance, and cross-team technical leadership to enable real-time reporting, conversational intelligence, and AI-driven customer experiences.

Lead design and operation of an AI-ready, cloud-native data and analytics platform for Webex Contact Center. Build scalable streaming and batch pipelines, feature stores, model-serving and inference pipelines, optimize for low latency/high throughput, integrate ML into production, mentor engineers, and evaluate emerging AI technologies to deliver analytics, reporting, and AI-powered contact center capabilities.

Validate next-generation Catalyst 9000 switching platforms by designing and automating tests across Layer 2/3, security, performance, interoperability, and upgrade scenarios. Build scalable Python-based automation frameworks, CI/CD pipelines, and AI-assisted workflows. Troubleshoot protocol-level issues using packet analyzers and test gear, drive quality metrics, mentor peers, and partner with developers and field teams to ensure release readiness and customer issue resolution.

Design, build, and maintain Python-based automation, backend services, and operational tooling. Operate Kubernetes workloads across multi-region environments, contribute to CI/CD (Argo CD, GitHub Actions, Helm), manage IaC with Terraform/Ansible, maintain monitoring/logging integrations, automate detection/remediation, support incident response and on-call rotations, and ensure security/compliance through dependency and vulnerability patching.

Design, build, and operate scalable, distributed AI platform services and microservices. Own end-to-end delivery from design to production, build cloud-native APIs and orchestration pipelines, optimize performance and observability, implement CI/CD, and integrate AI capabilities (LLMs, agents, RAG, vector DBs). Collaborate cross-functionally and lead technical initiatives.