About the position
We are seeking a Senior Software Engineer to join the Video Encoding and Delivery team with Fandango at Home, where you will contribute to the systems that ingest, encode, package, and deliver premium video content for millions of users across VOD, AVOD, and Live workflows. Your focus will be on developing and optimizing our video ingestion, encoding, packaging, and validation services, ensuring efficient, secure, and reliable video delivery across a wide range of devices and platforms. You will work closely with the team’s Principal Engineer and collaborate across engineering, infrastructure, and quality domains to evolve our cloud-based media pipeline. This is a hands-on role ideal for an experienced backend or media systems engineer who takes pride in clean, maintainable code and thrives in high-performance, distributed environments.
Responsibilities
- Build and enhance our video ingestion, encoding, packaging, and validation systems to support scalable, secure, and standards-compliant video delivery (e.g., DASH, HLS, CMAF).
- Own features and services that manage the content lifecycle—from ingestion through final packaging and readiness for playback.
- Integrate seamlessly with ad-related workflows, ensuring proper signaling and playback behavior.
- Collaborate with other engineering teams to optimize compatibility and performance across diverse platforms.
- Partner with quality and test engineers to automate validation and ensure accurate, efficient content delivery.
- Contribute to platform reliability by building systems that are observable, maintainable, and scalable in modern cloud environments.
- Support future efforts to build internal tools and services that evaluate and improve encoding quality.
Requirements
- 3+ years of experience in software development, with strong expertise in Python and Java.
- Practical experience with video delivery technologies, including ingestion pipelines, encoding, packaging, validation, DRM, and encryption.
- Familiarity with streaming protocols and manifest formats such as DASH, CMAF, and HLS.
- Strong understanding of cloud infrastructure (AWS) and containerization technologies (Kubernetes, Docker).
- Exposure to CI/CD pipelines, Git workflows, and automated testing strategies.
Nice-to-haves
- Proficiency in scripting or additional languages such as C, C++, Bash.
