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...

Production kubernetes cluster management

Argocd gitops workflow implementation

Terraform infrastructure as code modules

** GitLab is seeking a Senior Backend Engineer for their Runway team, responsible for designing and managing a Kubernetes-based platform that enhances developer productivity. The role emphasizes strong technical skills in cloud infrastructure, GitOps workflows, and automation tooling, alongside a collaborative culture that values innovation and efficiency. **

Job Summary

This role involves leading the design and operation of the Kubernetes-based platform that powers GitLab's engineering organization.
The team focuses on evolving ArgoCD GitOps standards and building reusable Terraform modules to ensure safe, repeatable cloud infrastructure provisioning.
GitLab offers flexible benefits including a Growth and Development Fund, equity compensation, and home office support for all full-time employees.

Matching Summary

Match Score: 75

Salary

Not specified; Not specified; Flexible Paid Time Off; Equity Compensation; Home office support

Skills & Requirements

Must-have

Production Kubernetes cluster management
ArgoCD GitOps workflow implementation
Terraform infrastructure as code modules
Go programming language proficiency
Cloud environment operations (EKS/GKE/AKS)

Nice-to-have

Python or Bash scripting experience
AI integration in daily workflows
Async remote collaboration skills
Mentoring junior engineers

Key Requirements

Proficiency in Go for production services
Experience owning production Kubernetes clusters
Solid understanding of networking fundamentals
Ability to deliver independently driven work asynchronously

Work Rights

Not specified