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.

Senior Backend Engineer, Gitlab Delivery - Runway at GitLab

Senior Backend Engineer, Gitlab Delivery - Runway

GitLab

Remote

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

Fully remote

Production kubernetes cluster management

Argocd gitops workflow implementation

Terraform reusable module development

GitLab is seeking a Senior Backend Engineer for its Runway team to lead the design and operation of Kubernetes-based platforms and tooling. The role emphasizes strategic infrastructure initiatives, mentoring engineers, and improving developer experience while working in a remote environment

Job Summary

This role leads the design and operation of the Kubernetes-based platform powering GitLab's engineering organization to accelerate software delivery.
The team is expected to embrace AI as a core productivity multiplier, incorporating it into daily workflows to drive efficiency and innovation.
GitLab offers comprehensive benefits including flexible paid time off, equity compensation, a growth fund, and home office support for remote employees.

Matching Summary

Match Score: 85

Salary

Not specified; Not specified; Benefits include Flexible Paid Time Off, Equity Compensation, Growth Fund, Parental leave, Home office support

Skills & Requirements

Must-have

Production Kubernetes cluster management
ArgoCD GitOps workflow implementation
Terraform reusable module development
Go programming proficiency
RBAC and secrets management security
Incident response and post-mortem leadership

Nice-to-have

Python or Bash scripting experience
Asynchronous remote work collaboration
Strong written documentation skills
AI integration in daily workflows
Cloud environment scaling expertise

Key Requirements

Senior level experience with production Kubernetes
Proficiency in Go for production services
Experience with ArgoCD and Terraform
Solid understanding of networking fundamentals
Ability to work asynchronously across time zones

Work Rights

Not specified