Workopia is a free MCP server that provides AI-powered job search, resume building, and career advice. It works with Claude Desktop, ChatGPT, OpenClaw, Cursor, and any MCP-compatible AI assistant. Jobs are sourced directly from employer career pages, not scraped from job boards.

How do I add Workopia to Claude Desktop?

Open Claude Desktop, go to Settings, then MCP Servers, and click Add Server. Enter the URL: https://workopia.io/api/mcp-gpt. No API key is needed. You can then search jobs, build resumes, and get career advice directly in your Claude conversations.

Yes, Workopia is completely free to use. No subscription, no payment, and no login required. Job search and career advice are unlimited. Resume generation is rate-limited to 20 per hour per user to prevent abuse.

Where does Workopia get its job data?

Workopia sources jobs directly from employer career pages and ATS feeds such as Lever. It does not scrape LinkedIn, Indeed, SEEK, or other job boards. Every job listing links to the official employer posting.

Does Workopia store my resume?

No. Resume content submitted via MCP is processed in-memory for PDF generation and discarded after the response. No copies are saved server-side. Workopia does not store conversation history, personal information, or user identity from MCP interactions.

What AI platforms does Workopia work with?

Workopia works with any MCP-compatible AI client, including Claude Desktop, Claude Code, ChatGPT, OpenClaw (which supports Slack, Discord, WhatsApp, Telegram, and more), Cursor, Windsurf, and JetBrains IDEs. Just add the endpoint URL: https://workopia.io/api/mcp-gpt.

Professional Services, Technical Architect - West at GitLab

Professional Services, Technical Architect - West

GitLab

Remote

Gitlab reference architecture implementation

Source code management ci/cd migrations

Infrastructure as code practices

GitLab is seeking a Professional Services Technical Architect to lead customer engagements, focusing on the technical implementation of GitLab solutions in cloud and on-premises environments. The ideal candidate will have strong DevOps experience and a background in enterprise software development, with a focus on collaboration and effective communication in a remote work environment

Job Summary

Lead the technical direction of customer engagements from early scoping and discovery through delivery, designing high-level architectures and implementation plans for GitLab infrastructure and functionality.
Coordinate and guide implementation work across GitLab Professional Services and partner consultants, supporting customers deploying GitLab in cloud and on-premises environments using tools like Terraform, Ansible, and the GitLab Environment Toolkit.
Provide DevOps and DevSecOps consulting and best practices, contribute reusable collateral such as documentation, delivery kits, and training materials, and share product release updates to help the team deliver consistent outcomes.

Matching Summary

Match Score: 85

Skills & Requirements

Must-have

GitLab reference architecture implementation
source code management CI/CD migrations
infrastructure as code practices
DevOps DevSecOps consulting
customer-facing leadership
remote asynchronous environment

Nice-to-have

AI as productivity multiplier
continuous knowledge exchange
high-performance culture
values-driven environment

Key Requirements

Bachelor's Degree or equivalent experience
Demonstrated experience delivering consulting services
Enterprise software development experience
Progressive DevOps platform experience
Hands-on experience with Terraform and Ansible
Experience performing migrations to GitLab using Congregate

Work Rights

Not specified