# Lead Performance & AI Tools Engineer, Hybrid at Cisco

- Company: Cisco
- What the company does: Cisco is a worldwide technology leader powering an inclusive future for all. Learn more about our products, services, solutions, and innovations. Backed by Sequoia and Menlo.
- Company website: https://www.cisco.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Milpitas, California, US
- Work setup: On-site
- Posted: 2026-11-05
- Apply by: 2026-12-20
- Apply: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Milpitas-California-US/Lead-Performance---AI-Tools-Engineer--Hybrid_2030105?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/cisco-lead-performance-and-ai-tools-engineer-hybrid/

## About the role

As a Technical Leader in Developer Productivity & Performance Engineering, you will serve as the architectural owner for intelligent developer platforms and AI agent tooling. You will turn complex software delivery bottlenecks into high-leverage automation—spanning pull request analysis, CI failure triage, test selection, and release readiness. In this role, you will apply rigorous performance engineering to AI model endpoints and distributed Kubernetes workloads to guarantee optimal throughput and low latency. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Bachelor’s degree in Computer Science, Engineering, or a related STEM field and 10+ years of relevant software engineering experience, Master’s degree and 7+ years, or Ph.D. and 4+ years building distributed platforms
- 5+ years of software development experience using Python to design, build, and deploy production internal engineering platforms, automation frameworks, or developer productivity tools
- Experience implementing LLM APIs, AI coding assistants, or autonomous agent workflows (e.g., retrieval-augmented generation, PR analysis, or automated failure diagnosis) within engineering delivery pipelines
- Experience operating within Kubernetes and containerized cloud environments, coupled with experience utilizing observability platforms (e.g., Grafana, Datadog, Splunk) and distributed tracing
- Integrating developer tools and automation workflows experience with Git-based source control, pull requests, CI/CD pipelines, APIs, and automated testing frameworks
- Experience leveraging AI coding assistants and LLM-powered development tools to accelerate software development, debugging, and test automation while ensuring correctness, maintainability, and security of generated code


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/cisco-lead-performance-and-ai-tools-engineer-hybrid/