Paul J. Moore Platform & Reliability Engineer

Open to Platform & SRE Roles

Developer Tooling · Automation · Applied AI

I build reliable
platforms
and
tools that make engineers faster.

I’ve spent 7+ years across cloud infrastructure, production operations, automation, and internal platforms. My recent work focuses on developer tooling and applied AI for production engineering systems.

View Selected Work GitHub
Paul J. Moore

Paul J. Moore

Staff / Senior IC

Atlanta, Georgia

  • AWS
  • Kubernetes
  • Terraform
  • Go
  • TypeScript

Selected Work

/ case studies & platforms

Four builds, from enterprise incident automation to bare-metal Kubernetes.

Enterprise Platform · SRE

Enterprise Incident Operations & AI Triage Platform

Architected an end-to-end incident automation platform integrating PagerDuty, Jira, Datadog, and Slack. Utilizes LLMs to parse telemetry and execute pre-approved mitigation workflows.

  • EventBridge
  • Lambda / ECS
  • PagerDuty API
  • Applied AI

Flagship Dev Tooling · OSS

Review Party — Autonomous PR Reviewer

Combines fast local AST parsing with specialized AI agents to catch edge cases, race conditions, and styling violations before human review. Zero configuration, native GitHub Actions runner.

  • Go
  • CLI Tooling
  • Multi-Agent Systems
  • GitHub Actions
  • AST-grep

Mobile Platform · Applied AI

Bytes — Production AI Companion

Designed and built a mobile operations client featuring real-time Server-Sent Events, local state persistence via SQLite, and low-latency telemetry streaming for on-call engineers.

  • React Native
  • TypeScript
  • Hermes Engine
  • Streaming SSE
  • SQLite

Infrastructure · GitOps

Bare-Metal & Hybrid Kubernetes GitOps Platform

Architected a hardened multi-node cluster leveraging Cilium eBPF for high-throughput routing, Longhorn for distributed block storage, Infisical for secret synchronization, and VictoriaMetrics for observability.

  • Cilium eBPF
  • ArgoCD GitOps
  • Longhorn
  • VictoriaMetrics
  • Terraform

Work Experience

/ career & leadership

Two roles across enterprise cloud infrastructure, production operations, and developer platforms.

Warner Bros. Discovery

Site Reliability Operator · Technical Lead (Internal Platforms)

Oct. 2021 – Present

  • Architected and deployed automated incident response workflows integrating PagerDuty, Jira, and Slack, reducing incident MTTR by 22%.
  • Designed and delivered self-service platform tooling and automated runbooks adopted across multiple cross-functional engineering squads.
  • Led reliability engineering and production support for streaming broadcast infrastructure during tier-1 global live events.
  • Engineered applied AI automation pipelines for automated telemetry triage, anomaly parsing, and incident runbook synthesis.

Sylvan Road Capital

Cloud Infrastructure & Systems Engineer

Nov. 2018 – Oct. 2021

  • Directed multi-account AWS cloud migration and architecture overhaul across production, staging, and disaster recovery environments.
  • Implemented VPC network segmentation, AWS Managed Active Directory, Remote Desktop Gateway, and centralized AWS Backup policies.
  • Built Python and Lambda automation for server provisioning, compliance enforcement, and automated snapshot management.
  • Managed cross-functional infrastructure operations, enterprise security compliance, and identity integrations.

Systems & CloudSREPlatform EngineeringDeveloper Tooling + Applied AI

How I think about engineering

My path into agentic systems came through production engineering: operating infrastructure, automating it, building platforms other operators rely on, and eventually engineering developer tooling and agent orchestration.

I build systems that have to survive a 3 AM page, not just a proof-of-concept demo. Whether it’s an internal incident platform, a Go CLI for deterministic code reviews, or declarative Kubernetes clusters, the goal is always the same: making engineering teams measurably faster and more reliable.

Say hi.

Open to Cloud, Platform, SRE, and Developer Tooling roles, as well as selected applied AI collaborations.

paul@jequann.com