You will implement and maintain media-handling features such as ingest, analysis, and transcoding within a containerized MAM platform. Additionally, you will resolve complex format-related issues and provide technical expertise to support customer projects.
Purpose of the role
We are looking for an engineer who knows the broadcast and video world in depth and can turn that knowledge into reliable software. You will be our go-to person for video formats, codecs, and broadcast-specific media handling within our MAM platform. You will work in a team on Kubernetes-based, GitOps-delivered services, with architectural guidance from our senior architects.
Responsibilities
Implement and maintain media-handling features: ingest, analysis, transcoding, proxy generation, and delivery in broadcast-grade formats.
Analyze and resolve format-related issues (non-conformant files, interlace/frame-rate problems, audio channel mapping, timecode and metadata errors).
Integrate and tune transcoders and media tools (e.g. FFmpeg, MediaInfo, commercial transcoding engines) in containerized workflows.
Map and validate technical and descriptive metadata against broadcast standards and customer specifications.
Support customer projects and escalations with media-domain expertise.
Contribute to code quality and security (SonarQube, Mend) and to CI/CD pipelines.
Document format and workflow knowledge so it spreads across the team.
Must-have
Hands-on experience in broadcast, post-production, or MAM environments.
Solid knowledge of the video formatsin everyday use:
Containers: MXF (OP1a, OPAtom), MP4/MOV, MPEG-TS, ideally IMF
Video fundamentals: interlaced vs. progressive, frame rates (incl. 29.97/59.94 and drop-frame timecode), aspect ratios, color spaces (BT.601/709/2020), basics of HDR (PQ/HLG)
Audio: channel layouts and mapping, sample rates, loudness (EBU R128)
Experience with media metadata and subtitle/caption formats (e.g. EBU Core, SMPTE, BWF, EBU-TT/STL, TTML, CEA-608/708).
Practical experience with FFmpeg and media analysis tooling.
Programming experience in [Java / .Net / C#] and comfort working with REST APIs.
Working knowledge of Kubernetes and Helm, plus Git-based workflows.
Structured, quality-conscious way of working; fluent English, German is a plus.
Tooling and stack
Platform: Kubernetes, Helm, GitOps (Flux or Argo CD)
Cloud: AWS (working knowledge: S3, EKS, IAM basics)
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