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 (platform Engineering) at GitLab

Senior Backend Engineer, Gitlab Delivery: Runway (platform Engineering)

GitLab

Remote

Not specified; not specified; flexible pyid time o...

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, focusing on the design and operation of a Kubernetes-based platform for developer tooling. The ideal candidate will possess strong expertise in Kubernetes, GitOps, and infrastructure-as-code practices, with a commitment to enhancing developer productivity and operational efficiency

Job Summary

This role leads the design and operation of the Kubernetes-based platform powering GitLab's engineering organization.
The team focuses on evolving ArgoCD GitOps standards and building reusable Terraform modules for safe cloud infrastructure provisioning.
GitLab offers flexible paid time off, equity compensation, and a growth fund to support employee development.

Matching Summary

Match Score: 85

Salary

Not specified; Not specified; Flexible Paid Time Off, Equity Compensation, Growth Fund

Skills & Requirements

Must-have

Production Kubernetes cluster management
ArgoCD GitOps workflow implementation
Terraform reusable module development
Go programming proficiency
Cloud environment operations (EKS/GKE/AKS)

Nice-to-have

Python or Bash scripting experience
Incident response and post-mortem leadership
Asynchronous remote work collaboration

Key Requirements

Proficiency in Go for production services
Hands-on experience with production Kubernetes clusters
Experience designing GitOps continuous delivery workflows

Work Rights

Not specified