Обязанности: About the Project

We are building a retail computer vision platform that integrates IP cameras, live video streaming, AI inference, and real-time analytics.

Our platform processes live camera streams from multiple stores, runs face and visitor analytics through GPU inference pipelines, and delivers scalable event-driven backend services designed for high-throughput, multi-site deployments.

Tech Stack

Python, FastAPI, Go, Kafka, Docker, Docker Compose, PostgreSQL, pgvector, Redis, MinIO, MediaMTX, Triton Inference Server, NVIDIA GPU Infrastructure.

Responsibilities

Develop, maintain, and optimize backend services built with Python and FastAPI.
Design and improve backend services for multi-store, high-concurrency, real-time systems.
Maintain and improve event-driven pipelines using Kafka and Go-based workers.
Integrate and troubleshoot RTSP/IP cameras, edge agents, and live video streaming sessions.
Work with RTSP, RTMP, HLS, WebRTC, and MediaMTX streaming infrastructure.
Maintain services using PostgreSQL, SQLAlchemy, Alembic, Redis, and MinIO.
Optimize database queries, indexing strategies, caching, and data access patterns under production load.
Design systems that remain stable under high numbers of concurrent streams, events, and inference requests.
Integrate AI inference pipelines using Triton Inference Server.
Debug and resolve production issues across application code, containers, networking, databases, message queues, storage, and GPU inference services.
Improve system reliability, observability, logging, monitoring, retries, timeouts, and fault tolerance.
Read existing production code, understand business workflows, and safely deliver fixes without disrupting live systems.

Требования: - Strong backend engineering experience with Python.

Production experience with FastAPI or similar backend frameworks.
Strong experience with Docker and CI/CD.
Experience with PostgreSQL, SQLAlchemy, migrations, indexing, query optimization, performance tuning, and database troubleshooting.
Experience with Kafka or similar event-driven systems.
Strong Linux debugging and production troubleshooting skills.
Strong understanding of HTTP APIs, WebSockets, asynchronous programming, concurrency, and distributed systems.
Strong understanding of scalability, bottleneck analysis, resource optimization, and high-throughput backend design.
Ability to identify and resolve performance issues under production load.
Ability to read, debug, and maintain Go services, especially workers and consumers.
Experience with object storage such as MinIO or S3.
Ability to diagnose and resolve issues across software, infrastructure, networking, and external services.

Important Extra Skills

Experience with RTSP cameras, FFmpeg, GStreamer, RTMP, HLS, WebRTC, or MediaMTX.
Experience integrating and operating Triton Inference Server, GPU-based inference services, and NVIDIA tooling.
Practical experience integrating computer vision pipelines, face embeddings, similarity search, and image preprocessing workflows.
Experience with pgvector or vector similarity search.
Experience with Redis pub/sub or distributed worker coordination.
Experience with production monitoring, logging, and observability.

Условия: - Able to work independently on production systems.

Comfortable working with large existing codebases written by other engineers.
Able to troubleshoot complex distributed systems methodically.
Able to build systems that remain stable under growing numbers of cameras, stores, users, and real-time events.
Communicates clearly, takes ownership, and delivers production-safe solutions

Ключевые навыки

Python
Git
Docker
Linux
Английский — B2 — Средне-продвинутый

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Где предстоит работать

Ташкент, 7-й проезд Сайрам, 17 Показать на большой карте

Python backend developer

Job description