Software engineer building production systems, developer tools, and AI engineering workflows. Creator of briansjobsearch.com.

I design, ship, and operate software across the full lifecycle: product code, APIs, CI/CD, release decisions, production deploys, incident response, reliability automation, and coding-agent workflows. The useful work often sits between the boundaries teams usually split apart.

Links: Brian's Job Search · LinkedIn · Agent Skills

Engineering judgment as reusable instructions for AI coding agents (Cursor, Claude Code, Codex, and other SKILL.md tools).

Not prompt templates. Executable habits for PR quality, TypeScript testing, property-based testing, and mutation analysis — so an agent can decide whether code is actually good, not only generate more of it.

Finds newly posted jobs directly from company career sites and ATS sources, with an emphasis on freshness and contextual AI assistance. Reached ~74,000 users in its first week and continues to serve thousands of job seekers. The product is public; its source is private.

A TypeScript MCP server and CLI for finding fresh, still-live jobs directly from 50+ applicant tracking systems. It coordinates incremental background sweeps across a catalog of 180,000+ company boards, with SSRF protection, typed tool schemas, adaptive rate limiting, property and mutation testing, automated catalog refreshes, secret scanning, and release automation.

A reproducible Wine-based setup that makes the Windows-only Articulate Storyline authoring application usable on Intel macOS. Roughly 35 compatibility patches cover rendering, Retina scaling, native macOS dialogs, launch performance, microphone access, and screen capture.

A privacy-first Chrome extension that fills applications across 30+ ATS platforms with a generalized field-scoring engine rather than site-by-site field mappings. Profiles stay local, arbitrary sites cannot trigger automatic fills, and opt-in diagnostics redact applicant data.

At Formant, my QA Manager title grew into hands-on engineering ownership across production software, releases, reliability, customer engineering, automation, and robotics tooling.

• Product engineering: shipped TypeScript/React/API work across frontend, backend, visualization, teleoperation, and shared libraries. One high-cardinality UI/data problem was pulling ~324k rows / 29 MB; redesigning the query path reduced the slow lookup from ~11–16s to ~0.5s.
• Production & releases: owned release readiness and production deployment, built CI/CD and release automation, investigated incidents, and shipped production fixes.
• Engineering systems: built Playwright-based visual regression, property/mutation testing workflows, production monitors, and AI-assisted test authoring/repair systems.
• Platform/tooling: worked across Go/Bazel, ARM64, Docker, GitHub Actions, protobuf/gRPC, Python SDK tooling, and robotics edge-runtime compatibility.

• TypeScript / JavaScript / Node / React
• APIs, data cardinality, and performance measurement
• CI/CD, GitHub Actions, release and deploy automation
• Production debugging, reliability, customer engineering
• Playwright and test architecture that catches real defects
• Coding agents, agent skills, orchestration, and human review gates
• Developer tooling and automation

Open to senior / staff software engineering roles where ownership spans product code, platforms, releases, production, and AI-assisted engineering practice.