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.

Vice President Of Engineering, Devops Engineering at GitLab

Vice President Of Engineering, Devops Engineering

GitLab

Remote, United States

Not specified; not specified; benefits include fle...

Remote

Leading large distributed engineering organizations

Modernizing monolithic applications to modular architecture

Ai-native engineering practices and workflows

GitLab is seeking a Vice President of Engineering for their DevOps Engineering team, focusing on leading a distributed engineering organization to enhance their AI-powered DevSecOps platform. The role demands strong technical leadership, strategic alignment with business goals, and operational excellence in software delivery

Job Summary

This role involves overseeing a globally distributed engineering organization to shape the future of an AI-powered DevSecOps platform.
The successful candidate will champion AI-native engineering practices across workflows, including code review and continuous delivery.
GitLab offers flexible paid time off, equity compensation, and a growth and development fund to support full-time employees.

Matching Summary

Match Score: 85

Salary

Not specified; Not specified; Benefits include Flexible Paid Time Off, Equity Compensation, and Home Office Support

Skills & Requirements

Must-have

Leading large distributed engineering organizations
Modernizing monolithic applications to modular architecture
AI-native engineering practices and workflows
Building scalable frontend and backend platforms
Remote-first asynchronous documentation culture

Nice-to-have

Experience with design system versioning and testing
Cross-functional leadership in executive stakeholder management
Background in developer tooling and CI/CD optimization
Strong written communication skills for handbook-first environment

Key Requirements

Experience leading Directors and Senior Managers in distributed environments
Direct experience migrating monoliths to independently deployable architectures
Proven track record in scaling systems and product delivery

Work Rights

Not specified