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Staff-level engineer with 18+ years of experience seeking a Staff/Senior IC or hands-on EM role in full-stack, developer tools, or agentic AI infrastructure.

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Remote Bellevue lead 18 years experience

Skills

TypeScriptNode.jsReactPythonRustGoJavaScalaAkkaC++C#KubernetesDockerGCPSQLNeo4jClaude CodeMCPAgent Client ProtocolOpenCVITKTensorFlowKerasUnrealZodEnvoy

Domains

full-stack developer tools agentic AI infrastructure backend devops game development computer vision medical imaging data platform AR/VR
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  Location: Bellevue, WA (Seattle area)
  Remote: Yes, or on-site/hybrid in Seattle
  Willing to relocate: No
  Technologies: TypeScript, Node.js, React, Python, Rust, Go, Java, Scala/Akka, C++, C#, Kubernetes, Docker, GCP, SQL, Neo4j, Claude Code, MCP, Agent Client Protocol, OpenCV, ITK, TensorFlow/Keras
  Résumé/CV: https://www.petercappetto.com/resume
  Email: [email protected]

Staff-level engineer with 18+ years of experience. I'm looking for a Staff or Senior IC role (or a hands-on EM role) in full-stack, developer tools, or agentic AI infrastructure. US and Canadian citizen.
Most recently, I was an Engineering Manager for Pokémon GO's internal tools at Niantic. I architected and led the move of admin tooling off the game server into its own Kubernetes/Node.js deployment, so it could ship without waiting for the two-week game release cycle. I also led the build of a CDN-backed asset upload platform that cut infrastructure costs by $15k/month. Hands-on, I cut tooling traffic by over 80% by adding compression to a largely unmaintained Kubernetes operator that manages Envoy deployments.
Before that, I spent five years at PrecisionOS, a surgical VR company. I built the pipeline that turns CT scans into 3D meshes in Unreal and wrote the accuracy bench test that supported the product's FDA Class II approval. I also did R&D on 3D deep learning segmentation, then led the data platform team (TypeScript, React, Zod). Earlier, I built games in Unity and Flash, and game servers in Scala/Akka, C#, and Java.
I'm currently building agent tooling: a coding agent written in Rust that speaks Zed's Agent Client Protocol, and Scout, a TypeScript job-search agent that scores postings with several LLMs and stores them in Neo4j. I also recently built a three-node Raspberry Pi Kubernetes cluster, using agents as tutors and reviewers along the way. Live status: https://vitals.petercappetto.com

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