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.

Principal Engineer, Infrastructure Platforms at GitLab

Principal Engineer, Infrastructure Platforms

GitLab

Remote

Designing large-scale platforms

Distributed systems in cloud-native environments

Golang and/or ruby proficiency

GitLab is seeking a Principal Engineer for its Infrastructure Platforms, a remote role focused on leading architectural decisions for critical infrastructure systems. The ideal candidate will have a strong background in designing large-scale, cloud-native platforms and will play a significant role in shaping technical direction while mentoring other engineers

Job Summary

This role operates at organizational scale, owning architecture, solving complex systems problems, and driving initiatives that shape how GitLab grows, performs, and remains reliable.
You will serve as a technical authority and force multiplier, leading architectural decisions across distributed and cloud-native systems to translate business strategy into durable technical direction.
The Principal Engineer role sits within GitLab’s Infrastructure Platforms organization, working across multiple teams to shape how our platform scales and operates.

Matching Summary

Match Score: 85

Skills & Requirements

Must-have

designing large-scale platforms
distributed systems in cloud-native environments
Golang and/or Ruby proficiency
Kubernetes-based environments
accountable for production systems
drive technical strategy and roadmaps
leading through influence

Nice-to-have

embrace AI as a core productivity multiplier
co-create the future
continuous knowledge exchange
solve complex problems

Key Requirements

Proven experience designing and evolving large-scale platforms
Strong proficiency in Golang and/or Ruby
Solid understanding of Kubernetes-based environments
Experience owning platform-level technical decisions
Ability to author and drive long-term technical strategy
Track record of leading through influence

Work Rights

Not specified