# Technical Leader in Developer Productivity & Performance Engineering

**Company**: Cisco
**Location**: Milpitas, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $186,900.00 to $267,700.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Milpitas-California-US/Lead-Performance---AI-Tools-Engineer--Hybrid_2030105?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_18cdc4b8-ba1

## Description

Cisco’s Developer Platforms and AI Productivity team is dedicated to empowering thousands of engineers by building next-generation internal tools, developer workflows, and autonomous AI agents.

As a Technical Leader in Developer Productivity & Performance Engineering, you will serve as the architectural owner for intelligent developer platforms and AI agent tooling.

Responsibilities:

- Architect and deploy AI-assisted developer tools: Build intelligent agents for automated PR analysis, CI failure diagnosis, and engineering knowledge retrieval to drastically reduce developer cycle time and manual debugging.

- Drive end-to-end performance engineering: Design and implement load, stress, and scalability testing using Python and Locust to optimize latency, throughput, and token generation rates across distributed services and model endpoints.

- Establish safe agent execution frameworks: Implement sandboxing, scoped permissions, and confidence thresholds to ensure AI developer tools operate reliably, securely, and transparently.

- Unify observability and telemetry pipelines: Correlate metrics from Datadog, Grafana, Splunk, and OpenTelemetry to identify systemic bottlenecks and provide actionable architectural recommendations to engineering leadership.

Minimum Qualifications:

- 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.

Preferred Qualifications:

- Experience architecting multi-agent orchestration, tool calling, Model Context Protocol (MCP), or vector-based engineering knowledge retrieval systems adopted across multiple teams.

- Proven track record defining quantitative developer productivity metrics (e.g., PR cycle time, CI wait time, time to first token) and driving widespread internal tooling adoption.

Benefits:

- Medical, dental and vision insurance

- 401(k) plan with a Cisco matching contribution

- Paid parental leave

- Short and long-term disability coverage

- Basic life insurance

- Paid time away (vacation, holidays, sick time)

- Optional 10 paid days per full calendar year to volunteer

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## Skills

### Required
- Python
- Locust
- Datadog
- Grafana
- Splunk
- OpenTelemetry
- Kubernetes
- LLM APIs
- AI coding assistants

### Nice to have
- multi-agent orchestration
- Model Context Protocol (MCP)
- vector-based engineering knowledge retrieval systems
- quantitative developer productivity metrics

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Milpitas-California-US/Lead-Performance---AI-Tools-Engineer--Hybrid_2030105?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)