Python Backend Platform Engineer – AI Software

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Quadcode SaaS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

🤝 B2B

🛍️ eCommerce

Fintech • B2B • eCommerce

Quadcode SaaS is a leading fintech company that specializes in brokerage solutions and provides cutting-edge financial software solutions to businesses in over 150 countries. They have been recognized with awards for their all-in-one brokerage solutions, which improve the trading experience through innovative features and mobile compatibility. Quadcode SaaS is committed to continuous improvement and support for its clients, ensuring they remain at the forefront of the online trading and fintech industry.

📋 Description

• 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.

🎯 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. • Experience with brokers and task queues: Celery, Redis, RabbitMQ. • 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 (paid in EUR). • 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.