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 Engineering Manager, Devex at GitLab

Senior Engineering Manager, Devex

GitLab

Remote, United States

Base salary range not specified; includes bonuses,...

Kubernetes platform architecture

Helm and containerized delivery

Self-managed on-prem environments

** GitLab is seeking a Senior Engineering Manager for its Delivery Enablement team to lead multiple engineering teams focused on developer tooling, observability, performance, and analytics. The ideal candidate will have a strong technical background in Kubernetes and experience managing remote teams, with a passion for platform engineering and enhancing developer productivity. **

Job Summary

This role leads four engineering teams focused on developer tooling, observability, performance, and analytics to build a Kubernetes-first platform.
The successful candidate will drive a unified platform vision supporting both cloud and self-managed deployments while managing remote team health and performance.
GitLab embraces AI as a core productivity multiplier, expecting all team members to incorporate AI into their daily workflows for efficiency and innovation.

Matching Summary

Match Score: 75

Salary

Base salary range not specified; includes bonuses, equity, and benefits

Skills & Requirements

Must-have

Kubernetes platform architecture
Helm and containerized delivery
Self-managed on-prem environments
Remote team management experience
Developer productivity optimization

Nice-to-have

AI-assisted development practices
CLI-based AI coding tools
OpenShift or OpenStack experience
Proxmox environment familiarity
Cross-functional collaboration skills

Key Requirements

Experience leading remote engineering teams
Strong technical background in Kubernetes
Hands-on experience with Helm
Knowledge of self-managed/on-prem environments
Performance management and coaching experience

Work Rights

Not specified