Software Engineer

This job is with CodeByte, a technology-driven company offering Managed Services in Custom Software Development, Dedicated Teams, UI/UX Design, Data Engineering, and Machine Learning, helping businesses build scalable and intelligent digital solutions.

Role Overview:

Were looking for a skilled Python Developer with hands-on experience in real-time data or media streaming systems . You'll work on building, optimizing, and maintaining high-performance backend services that process and stream large volumes of data or media in real time. The ideal candidate has a strong foundation in Python, distributed systems, and streaming technologies such as Kafka, WebRTC, or AWS Kinesis.

Key Responsibilities:

• Design and develop backend services and APIs in Python for real-time streaming applications.
• Implement, optimize, and monitor data pipelines and media streaming workflows.
• Work with streaming frameworks (Kafka, Redis Streams, AWS Kinesis, etc.) or media protocols (RTMP, HLS, WebRTC).
• Collaborate with DevOps and frontend teams to ensure low-latency, scalable performance.
• Troubleshoot streaming quality, synchronization, and throughput issues.
• Write clean, maintainable code and unit/integration tests.
• Optimize data serialization, caching, and concurrency for high-performance systems.
• Contribute to system architecture discussions and technology decisions.
  
  
  

Required Skills & Experience:

• 3-5 years of experience in backend development using Python (FastAPI, Flask, or Django).
• Strong understanding of asynchronous programming (asyncio, aiohttp, etc.).
• Proven experience with data or media streaming (Kafka, Kinesis, WebRTC, FFmpeg, RTSP, etc.).
• Experience integrating with cloud infrastructure (AWS, GCP, or Azure).
• Good knowledge of database technologies (PostgreSQL, Redis, or MongoDB).
• Familiarity with Docker and containerized deployments.
• Understanding of system design, scalability, and distributed systems.
  
  
  

Nice-to-Have:

• Experience with real-time analytics or event-driven architectures.
• Familiarity with FFmpeg for media encoding/transcoding.
• Knowledge of CI/CD pipelines and infrastructure as code (IaC) tools.
• Exposure to machine learning pipelines or video processing is a plus.