Senior Python Backend Engineer (Part‑Time, Remote)

About Royal Service

Key Responsibilities

• Build and operate an asynchronous FastAPI service that streams Google Gemini suggestions to our Android keyboard with a p95 latency of 200 ms or less
• Create and maintain API endpoints for grammar correction, tone adjustment, and English ↔ Persian translation using Server‑Sent Events or WebSockets
• Deploy, scale, and monitor the service on Google Cloud Run, managing containers, secrets, and blue/green releases
• Instrument logs and metrics with OpenTelemetry and Cloud Logging to track latency, errors, and cost
• Design a data‑logging schema and implement Pub/Sub → BigQuery pipelines to power future personalised‑learning features
• Collaborate closely with mobile, product, and design during our four‑week MVP sprint—review prompts, profile latency, and squash bugs

Role Requirements

• Python 3.11+ — Strong async/await skills, type annotations, and tests with pytest‑asyncio
• FastAPI / Starlette — Production experience with StreamingResponse, Server‑Sent Events, and WebSockets
• Relational databases — Solid understanding of SQL, indexing, ACID, and ORM usage (e.g., SQLAlchemy)
• Containers & CI/CD — Docker, multi‑stage builds, GitHub Actions or GitLab CI, and Git best practices
• Google Gemini SDK — Building streaming calls, applying safety settings, and managing prompt versions
• Google Cloud — Deploying to Cloud Run, using Cloud Build, IAM, and Secret Manager
• Observability — OpenTelemetry traces, Cloud Logging queries, and p95/p99 latency tuning
• Security — OAuth 2 / JWT, TLS 1.3, and proactive dependency management

Bonus Qualifications

• Hands‑on experience with large language models, prompt engineering, or retrieval‑augmented generation
• Terraform or Pulumi for infrastructure as code on GCP
• Load‑testing with Locust or k6 and tuning Uvicorn workers
• Familiarity with Android networking, SSE, or WebSocket debugging
• BigQuery SQL or Dataflow/Beam pipelines
• Advanced security practices such as certificate pinning or SBOM generation

Why You Should Apply

• Real impact. Help launch an AI‑powered product in just one month
• Fresh codebase. Build from scratch without legacy constraints
• Fully remote. Work from anywhere with minimal meetings
• Flexible hours. Part‑time schedule that fits your life
• Modern stack. Use Google Gemini, FastAPI, and async Python every day
• Growth path. Strong performance can lead to expanded, full‑time responsibilities

How to Apply