c/c++ developer in video streaming

Kake develops a real-time video platform that powers mission-critical services for broadcast, sports, league, and streaming partners. The platform supports low-latency, high-availability video pipelines across cloud and on-premises environments.

• Design, develop, and deploy distributed, low-latency video processing pipelines for cloud and on-premises environments;
• Develop and optimize real-time video processing solutions, including encoding, decoding, transport, and image enhancement workflows;
• Contribute to the deployment, monitoring, and operational support of mission-critical video services;
• Evaluate and implement emerging technologies and industry best practices to improve platform performance and scalability;
• Provide occasional on-call support for field operations, including evenings and weekends when necessary;
• Maintain accurate technical documentation, including code, architecture diagrams, and operational procedures;
• Participate in architecture, design, and product planning discussions;
• Collaborate with cross-functional engineering teams in an agile development environment.

• Bachelor's degree or higher in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience;
• Significant professional experience developing software in both C++ and Rust;
• Experience working within Windows 10/11 (64-bit) and Linux development environments;
• Strong knowledge of AWS cloud services and infrastructure, including S3 and EC2;
• Experience with multimedia frameworks such as GStreamer;
• Deep understanding of video codecs, particularly HEVC, and streaming technologies including MPEG-TS, SRT, HLS, and WebRTC;
• Knowledge of NVIDIA GPU technologies, including CUDA and the NVIDIA Video Codec SDK;
• Familiarity with SMPTE broadcast standards and technologies;
• Strong understanding of video and image processing techniques, including demosaicing, denoising, color space conversion, and image enhancement;
• Knowledge of software development best practices, including version control, code management, testing, and deployment processes;
• Ability to adapt quickly to changing priorities and customer needs;
• Excellent written and verbal communication skills in English;
• Nice to have: Experience with Python and/or C#, experience working with MongoDB, experience designing, deploying, and maintaining cloud-based workflows, familiarity with AI/ML techniques for video enhancement and image processing, knowledge of machine vision standards and transport technologies, experience with messaging and event streaming technologies such as ZeroMQ (ZMQ) or Apache Kafka, general understanding of camera technologies and workflows, familiarity with broadcast engineering tools such as vector scopes, RCPs, and CCUs, experience integrating OEM SDI output cards and APIs from vendors such as AJA or Blackmagic Design, experience within sports technology, broadcasting, streaming media, or cloud software industries.

• Six hours of overlap with the CST time zone is preferred.