ConfigsJun 2, 2026·3 min read

Job-Ops — Self-Hosted Job Search Pipeline with AI Assistance

A self-hosted application that applies DevOps principles to job hunting, providing a pipeline to track applications, analyze job postings, generate tailored materials, and manage the entire search process from a dashboard.

Agent ready

Ready-to-run agent install

This asset can be installed after the agent chooses its runtime, checks the plan, and runs the matching command.

Native · 98/100Policy: allow
Agent surface
Any MCP/CLI agent
Kind
Skill
Install
Single
Trust
Trust: Established
Entrypoint
Job-Ops Pipeline
Direct install command
npx -y tokrepo@latest install f99aa2de-5e39-11f1-9bc6-00163e2b0d79 --target codex

Run after dry-run confirms the install plan.

Introduction

Job-Ops applies DevOps principles to the job search process. It provides a self-hosted dashboard where you can track applications, analyze job postings with AI, generate tailored resumes and cover letters, and manage your entire job hunting pipeline from a single interface. Think of it as a CI/CD pipeline for your career.

What Job-Ops Does

  • Tracks job applications through configurable pipeline stages (applied, screening, interview, offer)
  • Analyzes job postings with AI to extract key requirements and match them to your skills
  • Generates tailored cover letters and resume adjustments for specific positions
  • Provides analytics on application success rates, response times, and pipeline health
  • Runs entirely self-hosted with Docker for full data privacy

Architecture Overview

Job-Ops is a TypeScript application built with Next.js for both the frontend dashboard and the backend API. Application data is stored in a local database, and AI features connect to configurable LLM providers for text analysis and generation. The pipeline model uses a Kanban-style board where each application moves through stages. The analytics engine aggregates data across applications to surface insights about your search patterns.

Self-Hosting & Configuration

  • Clone the repository and install Node.js dependencies
  • Configure environment variables for database and optional AI provider keys
  • Run in development mode with npm run dev or build for production
  • Deploy with Docker Compose for a persistent self-hosted instance
  • Import existing applications from CSV or add them manually through the UI

Key Features

  • Visual Kanban pipeline for tracking application stages
  • AI-powered job posting analysis and skill matching
  • Automated cover letter and resume tailoring suggestions
  • Application analytics with conversion rate tracking
  • Self-hosted with Docker for complete data privacy

Comparison with Similar Tools

  • Huntr — commercial job tracker with browser extension; Job-Ops is self-hosted and free
  • Teal — SaaS resume builder and tracker; Job-Ops adds AI analysis and runs on your server
  • Notion templates — flexible but manual; Job-Ops provides purpose-built pipeline automation
  • LinkedIn Easy Apply — platform-specific; Job-Ops tracks applications across all platforms

FAQ

Q: Does Job-Ops require an AI API key? A: AI features are optional. The core tracking and pipeline management work without any API key. Add an LLM provider key to enable analysis and generation features.

Q: Can I import my existing applications? A: Yes. Job-Ops supports CSV import for bulk loading existing application data.

Q: Is my data sent to any external service? A: No. All data stays on your server. AI requests go directly to the provider you configure, and no telemetry is collected.

Q: Can I customize the pipeline stages? A: Yes. Pipeline stages are configurable to match your personal job search workflow.

Sources

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