Lead Performance & AI Tools Engineer, Hybrid
Core
Architect and deploy AI-assisted developer tools and performance engineering frameworks to accelerate software delivery and reduce developer cycle time.
Role type
Senior IC Lead Performance & AI Tools Engineer
Builds
Intelligent agents for automated PR analysis, CI failure diagnosis, and engineering knowledge retrieval; performance testing frameworks for distributed services.
Domain
Software Engineering / AI Productivity / Cloud-Native Infrastructure
Deliverable
production ML models
Required skills
Python, LLM APIs, autonomous agent workflows, performance engineering, load testing, Kubernetes, observability platforms, CI/CD pipelines, distributed tracing
Preferred skills
Multi-agent orchestration, Model Context Protocol (MCP), quantitative developer productivity metrics, LLM inference endpoint optimization, UI/browser performance automation, AI-agent workflow design
Technologies
Python, Locust, Datadog, Grafana, Splunk, OpenTelemetry, Kubernetes, AWS, GCP, Azure, Playwright, Lighthouse
Responsibilities
Architect and deploy AI-assisted developer tools; Drive end-to-end performance engineering; Establish safe agent execution frameworks; Unify observability and telemetry pipelines; Build and ship developer productivity platforms; Drive measurable productivity improvements and adoption across engineering teams.
Seniority
Senior, hands-on IC with leadership responsibilities
