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Python Backend Platform Engineer – AI Software

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 501-1,000H1B No SponsorCompany SiteLinkedIn

Location

Belarus

Posted

70 days ago

Salary

0

Seniority

Senior

Job Description

Python Backend Platform Engineer – AI Software

Quadcode SaaS

• Design and develop backend services using FastAPI / Flask. • Build and maintain internal and external APIs for both product features and AI-driven scenarios. • Work with PostgreSQL and PgBouncer: design schemas, optimize queries, and manage database load. • Utilize Redis for caching, queues, pub/sub, and other system-level tasks. • Develop asynchronous processes and background workers using Celery. • Containerize services with Docker and Docker Compose. • Manage orchestration with Docker Swarm and Kubernetes. • Deploy and maintain AI workers in GPU cloud environments, including RunPod and Vast.ai. • Set up CI/CD pipelines, monitoring, logging, and basic SRE practices. • Participate in designing scalable and fault-tolerant backend systems. • Make architectural decisions for high-load and AI-native components. • Contribute to the backend of the AI IDE itself, including integrations with AI models and RAG subsystems.

Job Requirements

  • Minimum 3 years of commercial experience in Python backend development, preferably focused on platform engineering.
  • Deep understanding of Python internals and interpreter mechanics, memory management, and execution model.
  • Familiarity with GIL and practical ways to work around its limitations: multiprocessing, asyncio, C-extensions.
  • Confident working with async/await and a solid understanding of the event loop.
  • Strong SQL skills: complex queries, indexes, execution plans, and optimization.
  • Practical experience with PostgreSQL: performance tuning, replication, partitioning.
  • Understanding of connection pooling and experience with pgbouncer.
  • Experience designing scalable and highly available systems.
  • Understanding of architectural patterns: CQRS, Event Sourcing, microservices.
  • Confident using Docker, Docker Swarm, and Kubernetes.
  • Understanding of DevOps practices: IaC, monitoring, alerting, deployment automation.
  • Fluent Russian is a must (minimum C2).
  • Technical English (minimum B1+).

Benefits

  • Full-time remote work (External Vendor contract) with flexible hours — work where and when you’re most productive.
  • Competitive compensation in EUR or crypto.
  • Build a technically ambitious product that has real impact on the development market.
  • Directly shape the architecture, engineering decisions, and evolution of the AI platform.
  • Work with cutting-edge AI tools and GPU workloads.
  • Collaborate with a team of passionate, AI-focused professionals.
  • Enjoy a positive, friendly, and motivating environment that encourages experimentation.

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