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 determined by us location; not s...

Remote

Lead remote engineering teams through change

Strong technical background in kubernetes platforms

Experience with helm and containerized delivery models

GitLab is seeking a Senior Engineering Manager for their Delivery Enablement team, responsible for overseeing four engineering teams focused on developer tooling and platform capabilities. The ideal candidate should possess strong leadership skills, a technical background in Kubernetes, and experience managing remote teams

Job Summary

This role involves managing four distinct teams focused on developer tooling, observability, performance, and development analytics within the Delivery Enablement division.
The successful candidate will drive a Kubernetes-first platform vision that supports both cloud and self-managed environments while integrating AI-enabled workflows.
GitLab embraces AI as a core productivity multiplier, expecting all team members to incorporate it into their daily workflows to drive efficiency and innovation.

Matching Summary

Match Score: 85

Salary

Base salary range determined by US location; Not specified; Includes bonuses, equity, and benefits

Skills & Requirements

Must-have

Lead remote engineering teams through change
Strong technical background in Kubernetes platforms
Experience with Helm and containerized delivery models
Hands-on experience with CLI-based AI coding tools
Experience managing self-managed or on-prem environments

Nice-to-have

Passion for platform engineering and DevEx
Ability to evaluate technical tradeoffs effectively
Track record of building clarity in ambiguity
Experience coaching team members on performance
Understanding of OpenShift, OpenStack, or Proxmox

Key Requirements

Experience leading remote engineering teams
Working knowledge of Helm and containerized delivery
Experience with self-managed or on-prem environments
Hands-on experience with CLI-based AI coding tools
Relevant experience in platform, infrastructure, or SRE roles

Work Rights

Not specified