Technical Leader in Developer Productivity & Performance Engineering

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