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.

Intermediate Site Reliability Engineer, Cloud Cost Utilization at GitLab

Intermediate Site Reliability Engineer, Cloud Cost Utilization

GitLab

Remote, United States

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

Remote

Hands-on experience with gcp and aws billing data

Designing cloud resource tagging and labeling strategies

Experience with infrastructure as code using terraform and ansible

GitLab is seeking an Intermediate Site Reliability Engineer specializing in Cloud Cost Utilization to enhance cloud spending visibility and accountability. The role involves cross-functional collaboration to improve cloud usage tracking and cost management across GitLab's infrastructure

Job Summary

This role sits at the intersection of engineering and financial accountability to make cloud spending visible and actionable.
The successful candidate will build systems to normalize multi-cloud cost data using the FinOps Open Cost and Usage Specification.
GitLab offers flexible paid time off, equity compensation, and a growth fund for professional development.

Matching Summary

Match Score: 85

Salary

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

Skills & Requirements

Must-have

Hands-on experience with GCP and AWS billing data
Designing cloud resource tagging and labeling strategies
Experience with Infrastructure as Code using Terraform and Ansible
Familiarity with FinOps FOCUS specification for multi-cloud analysis
Building pipelines to normalize cloud cost data

Nice-to-have

Ability to explain technical cost data to non-engineering audiences
Self-directed approach in a fully remote asynchronous environment
Experience connecting reliability signals with cost efficiency metrics
Collaboration skills across Engineering, Finance, and Product teams

Key Requirements

Hands-on experience with cloud cost management in GCP and/or AWS
Experience designing or implementing cloud resource tagging strategies
Comfort working across technical and business functions

Work Rights

Not specified