Brandlive is hiring a specialized engineer to serve as a key contributor of a mature, business-critical product that powers real-time and on-demand video delivery. The role is focused on high value customer facing enhancements, maintaining system stability, improving automation, and ensuring great customer outcomes. You’ll work closely with product, support, and operations teams to ensure the system remains reliable, secure, and performant.
About the Product
Migration Pod handles complex data and workflow migrations across platform versions and customer integrations. The team builds in-product migration capabilities (import/mapping tools, guided flows, validation, and workflows) that allow customers acquired by Brandlive to transition from legacy systems into core Brandlive products. This is critical infrastructure work requiring depth in modern tooling, API integration patterns, and execution for customer success.
Key Responsibilities
- Maintain, troubleshoot, and support a mature and complex software product in production, including memory, threading, latency, and service to service communication.
- Develop, debug, and optimize performance-critical components related to video ingest, processing, playback, and distribution.
- Investigate and resolve bugs, performance issues, and production incidents.
- Implement high impact enhancements, bug fixes, and technical improvements while minimizing risk, with an emphasis on automation.
- Participate in on-call or support rotations as required.
- Collaborate with product, QA, and support teams to deliver reliable releases
Required Experience & Qualifications
- Years of Experience: 5+ years working in C++, C# or .NET in a Windows environment, with 2+ years focused on low latency video processing and delivery
- Core Technologies:
- Proficiency in T-SQL
- Expert level C++ experience
- Solid JavaScript knowledge
- Windows and Visual Studio experience
- GCP (or equivalent cloud platform) experience
- VideoCodec or streaming technology knowledge
- Architecture & Design: Experience designing systems for data consistency, failover, and validation
- Problem-Solving: Strong debugging and root-cause analysis skills; comfort with legacy systems and complex data models
- Communication: Ability to document complex technical processes clearly for both engineers and operations teams
Nice to Haves
- Azure and AWS experience
- HLS (HTTP Live Streaming) engine development in C
- Shaka player or similar streaming player experience
- Experience with large-scale data migrations (100GB+)
- Knowledge of database replication and sync strategies
- DevOps and deployment automation experience
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