I am looking for a developer to build a system that interacts directly with the Amazon Hiring APIs used on hiring.amazon.ca in order to automatically detect and book available shifts without using a browser or Chrome extension. Currently the booking process happens through the website UI, but I want a backend system that communicates directly with the API endpoints to make the process significantly faster and more efficient. Core Requirements 1. Direct API Communication The system must communicate directly with the Amazon Hiring GraphQL APIs used by the website. Examples include APIs responsible for: • User authentication • Job card search • Shift availability • Shift booking The system must replicate the same request structure used by the website, including: • headers • tokens • cookies • GraphQL payloads 2. Proper Login & Token Generation (Very Important) The system must implement the real login process used by the Amazon Hiring platform. When a user logs into hiring.amazon.ca / hiring.amazon.com, Amazon generates authentication credentials required to access the APIs. These include: • Access Token • Session Cookies • Authorization Headers These tokens are mandatory for interacting with the API. Required Behavior The system must: 1. Perform the login request programmatically. 2. Capture the authentication token returned after login. 3. Store the token securely. 4. Attach the token to all API requests. Example headers used by the API may include: • accesstoken • authorization • x-amz-user-agent • content-type Token Management The system should: • automatically obtain the token after login • detect when a token expires • refresh the token automatically if possible • request login again if the token becomes invalid Without a valid token, the API will reject requests. 3. Shift Monitoring System The system should continuously monitor shifts through the shift search API. Requirements: • Poll the API continuously • Detect newly available shifts immediately The system should process the API response and detect new job cards or shifts as soon as they appear. 4. Automatic Shift Booking Once a shift is detected, the system should: 1. Immediately send the shift booking request to the API. 2. Confirm if booking was successful. 3. Log the result. The booking request must replicate the same GraphQL mutation used by the website. 5. Job ID Based Auto Booking The system must allow manual entry of a Job ID. Workflow: 1. User enters a Job ID into configuration. 2. The system continuously monitors shift responses. 3. If the API response contains that specific Job ID, the system should immediately attempt to book that shift. Example configuration: job_id: ABC12345 auto_book: true When that job ID appears in the API response, the system should automatically trigger the booking request. 6. Multi-Account Support The system should support multiple Amazon accounts. Each account should run independently with its own: • login session • tokens • cookies • booking requests 7. Proxy Support Proxy support should be included to: • rotate IP addresses • reduce rate limiting • distribute requests Supported proxies: • HTTP • HTTPS • authenticated proxies The system should allow proxy rotation every few seconds. 8. Error Handling The system must handle: • expired tokens • API errors • network failures • rate limiting • booking failures It should retry automatically when possible. 9. Logging The system should maintain logs that include: • shift detection timestamps • job ID detection • booking attempts • successful bookings • errors 11. Deployment The system should run on: • local computer • VPS server Other Features Optional but preferred features include: • Telegram notification when a shift is booked • automatic restart if the bot stops • Stop once shifts is books • Run 24/7