In this position, you will be reporting to the SVP Media Distribution & CIO and working with a dynamic team of engineers focused on video/audio transport, routing, processing and distribution within a cloud and SaaS product offering.
Skills and Experience you will bring: 5+ years building and operating production backend or distributed systems (Python preferred; strong candidates from Java, Go, or similar backend languages also considered) Deep, hands-on experience with a major cloud
In this position, you will be reporting to the SVP Media Distribution & CIO and working with a dynamic team of engineers focused on video/audio transport, routing, processing and distribution within a cloud and SaaS product offering.
Anaergia (TSX: ANRG) is a global leader in offering sustainable solutions for the production of clean energy and the conversion of waste streams to resources. Through a proven portfolio of proprietary technological solutions, Anaergia maximizes the generation
In this position, you will report to the SVP Media Distribution & CIO and work with a dynamic team of engineers focused on video/audio transport, routing, processing, and distribution within a cloud and SaaS product offering. Customers
Scope Our software engineers develop next generation technologies that enable the creation of media entertainment that you enjoy at home or on the go. Our software plays a significant role in producing and delivering your favourite
The FPGA Design Engineer at Evertz contributes to the development of advanced broadcast equipment used in real-time video and audio production, processing, and transport for Live sports production, News broadcasting, and Large-scale media workflows. This includes FPGA-based
Join Evertz as an FPGA Development Engineer in Burlington, Ontario, focusing on advanced broadcast solutions for real-time media processing. Collaborate with teams to ensure low-latency system performance. In this newly created position, you will design FPGA logic
Skills and Experience you will bring: 5+ years building and operating production backend or distributed systems (Python preferred; strong candidates from Java, Go, or similar backend languages also considered) Deep, hands‑on experience with a major cloud